Fedex Senior Data Scientist Salary Jobs in Usa

Tempe, AZ (Onsite 4 days a week)

A client in the infrastructure and construction space, is hiring their first Senior Data Scientist to build and lead a new predictive analytics function. They currently have strong Data Engineering and BI teams in place, but no formal predictive analytics capability. This role will establish that function from the ground up.

Why This Role Is Unique

• Founding Data Scientist role
• High executive visibility
• Opportunity to shape tooling, standards, and roadmap
• Clear path to building and leading a team based on impact

What You’ll Do

• Productionalize existing predictive models and advance new analytics initiatives
• Partner with business leaders to identify and prioritize high-value predictive use cases
• Design, build, and deploy machine learning solutions that drive measurable business outcomes
• Own the end-to-end ML lifecycle: data exploration to feature engineering to modeling to deployment to monitoring
• Establish MLOps best practices, including deployment pipelines, model monitoring, and lifecycle management
• Collaborate cross-functionally with data engineering, BI, and AI teams
• Help define and evangelize predictive analytics capabilities across the organization
• This role requires someone comfortable operating independently, engaging directly with business stakeholders, and turning ambiguous problems into production-ready solutions.

Technical Environment

• Azure cloud ecosystem
• Databricks (primary data platform; Spark-based processing)
• Azure Data Factory, Azure DevOps (CI/CD)
• Power BI / Microsoft Fabric
• Python & SQL required
• Experience with MLOps, model monitoring, and deployment pipelines

Ideal Background

• Experience in Data Science / Applied Machine Learning
• Strong Databricks or similar distributed compute experience
• Experience productionalizing ML models in enterprise environments
• Comfortable working cross-functionally and influencing stakeholders
• Startup mentality — builder mindset

If interested in position, please fill out this form: description

Join the Future of Healthcare at MedWatchers

MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.

Our comprehensive suite includes:

• CMAPP, our cloud-based care management platform
• Advanced analytics and risk-based targeting to derive ROI
• Omnichannel member and provider engagement
• Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects

We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.

As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.

Software Engineer (various levels)

Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)

Location: Onsite – San Diego, CA (No remote)

Salary Range: $130,000 – $160,000 (based on experience and skills) + Annual Bonus

Masters degree required in Computer Science, Data Science, Engineering, or a related field

Overview

Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.

Key Responsibilities

• Develop and maintain full-stack web applications with clean, testable code
• Design and implement RESTful APIs and backend services
• Build responsive, component-based user interfaces using modern JavaScript frameworks
• Work with cloud-native tools and infrastructure for scalable deployment
• Participate in code reviews, technical design discussions, and agile ceremonies
• Collaborate cross-functionally with product managers, clinicians, and data teams
• Ensure performance, reliability, and security of deployed applications
• Contribute to platform architecture decisions as the product scales

Representative Technologies (familiarity with similar tools is welcome)

• Frontend: JavaScript (React, Angular, Vue)
• Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
• Databases: PostgreSQL, MongoDB, Redis
• Cloud Platforms: AWS, Azure, GCP
• DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes

Ideal Experience

• Strong programming fundamentals and debugging skills
• Proven experience in full-stack application development
• Familiarity with modern deployment workflows and cloud services
• Agile team collaboration and iterative product delivery
• Bonus: Exposure to healthcare data, APIs, or workflows

We offer a comprehensive benefits package, including:

• 401(k) with company matching
• Health, dental, and vision insurance
• Paid time off (PTO)
• Tuition reimbursement
• Employee discounts

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients.

What you'll do:

• 
  
• Write production code in Python.
  
• Design, launch, and analyze experiments to optimize ad campaigns.
  
• Create reporting and analytics tools for the Data Science Team's customers.
  
• Translate insights from reporting tools into tvScientific's Data Science Product.
  
  

What we're looking for:

• 
  
• Ability to write and review production-level code in Python.
  
• Strong statistics and ML fundamentals.
  
• Desire to work in a fast-growing environment-comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process.
  
• Experience defining and measuring the utility of new reporting and analytics tools.
  
• Ability to quickly translate between DS Analytics & DS Product team.
  
• Strong track record of providing high-quality service to the DS team's customers/stakeholders.
  
• Adtech or CTV experience.
  
• Teaching experience is a plus.
  
• Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Senior Data Scientist – Exciting Leadership Opportunity

Compensation: Up to $140,000 | Location: In-person only

Why This Role is Exciting

We’re looking for a seasoned Data Scientist to lead high-impact projects and drive strategic insights through advanced analytics and machine learning. This is a chance to work with complex, large-scale datasets, build cutting-edge models, and directly influence decisions across the organization. You’ll mentor other data scientists, collaborate with cross-functional teams, and apply your expertise to real-world problems that matter. If you’re passionate about using data to solve challenges and create tangible impact, this role is for you.

What You’ll Do

• Lead critical projects, delivering actionable insights that drive business decisions
• Develop and apply custom models and algorithms to analyze complex datasets
• Research, analyze, and interpret data using advanced statistical and machine learning techniques
• Maintain, evaluate, and optimize existing models for accuracy and performance
• Provide mentorship, technical guidance, and training to fellow data scientists
• Collaborate with teams to identify, troubleshoot, and resolve data challenges
• Communicate findings clearly to technical and non-technical audiences
• Stay at the forefront of data science best practices, tools, and techniques

What We’re Looking For

• Bachelor’s Degree in Science, Engineering, Computer Science, Mathematics, Statistics, or related STEM field (Master’s in Data Science preferred)
• Minimum 7 years of professional experience in data science
• Strong background in machine learning (clustering, decision trees, neural networks, etc.) and advanced statistics (regression, hypothesis testing, distributions)
• Experience in healthcare, medical informatics, healthcare IT, revenue cycle data management, or EHR data preferred
• Proficiency in SQL, data modeling, statistical tools, and programming languages
• Exceptional problem-solving, analytical reasoning, and project management skills
• Ability to communicate complex insights clearly and effectively to diverse stakeholders
• Demonstrated experience leading projects and mentoring other data scientists

Data Scientist Everfit | Hybrid, San Francisco Bay Area

About Everfit

Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights.

About the Role

We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform.

What You'll Do

Product Analytics & User Insights

• Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success.
• Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization.
• Identify opportunities to improve onboarding, engagement, and coach–client interactions.

Experimentation & A/B Testing

• Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation.

Strategic Impact & Roadmapping

• Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes.
• Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions.
• Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams.

Technical Foundations

• Partner with data engineering to improve pipelines and instrumentation.
• Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms.

Marketing Analytics & Optimization

• Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion.
• Partner with marketing and growth teams to design and evaluate campaign experiments

What We're Looking For

• 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company
• Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets
• Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar)
• Understanding of SaaS metrics and cohort analysis
• Experience with translating numerical findings into clear insights for non-technical team members
• Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world)

Bonus Points:

• Experience with Python or R for statistical analysis
• Experience in a PLG (Product-Led Growth) environment
• Experience working at a company during a hypergrowth phase
• Background in fitness, health, wellness, or coaching industries

You'll thrive here if you:

• Are naturally curious and love asking "why" until you find the answer
• Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling
• Enjoy collaborating with global teams and making complex topics understandable
• Are comfortable with ambiguity and can structure your own work
• Care deeply about the impact your insights have on real coaches and their clients

Why Join Everfit

• Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world
• Work with autonomy and ownership on high-impact projects
• Join a collaborative, global team with experience from leading tech and fitness companies
• Enjoy competitive salary, equity, and performance bonuses
• Build something meaningful that helps people live better, healthier lives

Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status.

Ready to dive into data in the fitness intelligence space? We'd love to hear from you.

In Vivo Pharmacology (Senior Research Assistant - Senior Associate Scientist Level)

California Institute of Technology & Howard Hughes Medical Institute | Elowitz Lab

Full-time | Pasadena, CA (onsite) | 1-year term (renewable) | Start: March-April 2026 (flexible)

Our team in the Elowitz Lab at Caltech/HHMI is engineering therapeutic protein circuits, a new cancer-treatment modality at the intersection of synthetic biology and oncology. We're looking for an in vivo oncology scientist (Senior Research Assistant to Senior Associate Scientist) to help expand and run the program's translational in vivo engine. The role starts in an academic setting, with the option to transition into an early-stage startup in 2027.

Why therapeutic circuits?

Cancer therapies face a fundamental trade-off between effectiveness and precision, driving off-target toxicity, recurrence, and resistance. Therapeutic protein circuits address this by directly rewiring oncogenic mutations to cell death. Delivered as mRNA in lipid nanoparticles, these engineered proteins can distinguish cancer from normal cells and have shown tumor suppression in vivo. By design, these circuits "sense and kill" rather than inhibit. This mechanism makes them independent of oncogene addiction and less susceptible to resistance than most targeted therapies, potentially enabling a new generation of highly potent and specific cancer medicines.

Why join us now?

Over the past decade, our team has built and de-risked the therapeutic circuit platform. As we move toward a spinout, this is a rare chance to join at the inflection point where cutting-edge research becomes an early commercial program. You'll be part of a small, fast-moving, startup-minded team, helping build what could become a future cancer therapy.

What you'll do:

• Own and independently execute end-to-end in vivo oncology studies from tumor initiation through decision-grade analysis and reporting.
• Partner with the team to design studies and translate study plans into executable protocols.
• Execute and continuously refine a portfolio of in vivo models, including subcutaneous xenografts, orthotopic tumor models, and genetically induced models (including HTVi-initiated systems); establish and qualify new models.
• Perform hands-on mouse work, including tumor engraftment/initiation, dosing (IV, PO, IP, IT), monitoring, tumor measurements, necropsy, and tissue collection with rigorous documentation.
• Run longitudinal readouts such as IVIS bioluminescence imaging and blood sampling; perform terminal procedures, including terminal blood collection and perfusion.
• Lead downstream sample analysis workflows: process tissues for flow cytometry, IHC/IF, or spatial readouts (e.g., seqFISH) and coordinate tasks with the team.
• Conduct basic data and statistical analysis; build clear figures and concise summaries to inform study decisions and next steps.
• Support IACUC protocols and amendments; uphold high standards for animal welfare and EH&S compliance.
• Improve how we operate: upgrade our workflows/SOPs and support mentoring/training.

What qualifications are we looking for?

• Bachelor's degree in life sciences (or related) with 4-8 years relevant in vivo experience, or Master's degree with 2-6 years relevant in vivo experience
• Strong hands-on in vivo experience, including mouse handling, HTVi, common dosing routes (IV, PO, IT), and endpoint procedures (necropsy, tissue collection).
• Demonstrated ability to build, own, and optimize workflows and SOPs.
• High rigor, strong documentation habits, and attention to detail.
• Familiarity with IACUC protocols and EH&S regulations; commitment to humane animal work.
• Proactive communicator; ownership mindset; collaborative teammate.

Nice to Haves:

• Experience across multiple tumor models (subcutaneous, orthotopic, genetically induced).
• Prior experience in an early-stage startup (Competitive salary and Caltech benefits; compensation commensurate with experience. If the program transitions into a startup and you transition with it, competitive industry salary, benefits, and equity options may be available.

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners.

What you'll do:

• 
  
• Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel.
  
• Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
  
• Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power.
  
• Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms.
  
• Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions.
  
• Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
  
• Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.
  
• Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  
• 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
  
• Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
  
• Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
  
• Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
  
• Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.
  
• Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle.
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.

The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest.

What you'll do:

• 
  
• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc.
  
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting.
  
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
  
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
  
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
  
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
  
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
  

What we're looking for:

• 
  
• 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
  
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
  
• Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
  
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
  
• Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
  
• Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
  
• Experience leading key technical projects.
  
• Strong Experimentation background.
  
• Statistical rigor. Experience with causal inference projects.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-NM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

As a Senior Environmental Scientist at Intrepid you will assist the Environmental Manager with execution of our mine site environmental compliance and permitting responsibilities.

You will be responsible and should excel at the following:

Leading air, water and waste management compliance inspections.

Managing and arranging for disposal of universal, and hazardous wastes.

Assisting operations with implementation of best practice operational controls for environmental compliance

Developing and maintaining positive professional relationships with regulatory personnel

Overseeing the compilation of all relevant environmental data, statistics and information required by management, government bodies and agencies

Maintaining and submitting various records related to permit requirements

Overseeing the preparation and review of permit documents

Leading environmental special projects (groundwater sampling, compliance stack testing, etc)

Project management and contractor oversite

Be the environmental lead on continuous improvement projects

Perform other duties as assigned

REQUIRED QUALIFICATIONS

5+ years of experience in environmental roles

Bachelor’s Degree in Environmental Science, Engineering, Geology, Civil or Mining Engineering, or related technical field

Valid Driver’s License

Proficiency with Google Earth and Microsoft Suite, including: Microsoft Outlook, Microsoft Word and Microsoft Excel required.

Must be proficient in reading, analyzing and interpreting scientific data and information

Demonstrated experience in mining or other heavy industry environments

Able to communicate effectively to management and hourly work force

Experience working with federal, state and local environmental permitting preferred

Experience with Clean Water Act, Clean Air Act, Resource Conversation and Recovery Act

Knowledge of NEPA, MSHA, OSHA, DOT and other regulatory requirements preferred

OPPORTUNITIES

Medical plans with prescription drug coverage, dental insurance and vision insurance

401(K) with immediate vesting and generous employer match

Work-life balance with family-friendly work schedules

Opportunity to grow within position through Intrepid’s career path program

SCHEDULE AND WORK ENVIRONMENT

9/80 schedule: Monday – Thursday, 9-hour workdays, Fridays worked, 8-hour workday, with every other Friday off. Schedule subject to change.

Work environment will vary from a climate controlled office to loud processing and loadout facilities, construction sites and remote field locations

Noise levels will vary from low to high

Employees are required to wear safety attire and personal protective equipment (PPE).when applicable.

PHYSICAL REQUIREMENTS

Job conditions require sitting up to 2/3 of work time, and hearing over 2/3 of work time. Standing, walking, using hands, reaching with hands, climbing and stooping up to 2/3 of the time depending on job responsibilities. Must be able to lift up to 50 lbs. Up to 1/3 of the work time, the environment may consist of moving mechanical parts and high/precarious places. Typical noise levels vary from low to high (ex: business office, industrial and construction sites)

A pre-placement physical and hair follicle drug test will be required for anyone selected for this opportunity. Placement into the position will not be made until the results are received and cleared by Intrepid.

ABOUT US

Intrepid is an entrepreneurial organization committed to developing unique and environmentally sound ways of extracting minerals of global importance to multiple industries. While our legacy potassium products hold a strong reputation in the agriculture and feed industries, the expansion of our water, brine and other solutions contributes to the oil and gas industries to support energy resources. This diversification of products and customers expands our growth

and impact beyond yesterday’s needs. Working at Intrepid, you will experience the commitment, teamwork, and growth in every role and experience.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest's long-term success. We're looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.

What you'll do:

• 
  
• Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
  
• Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
  
• Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.
  
• Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
  
• Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
  
• Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems.
  
• Proficiency in leveraging large datasets for performance analysis and gap identification.
  
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
  
• Expertise in SQL and Python
  
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
  
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
  
• Experience leading key technical projects and substantially influencing the scope and output of others
  
• Experience in digital ad delivery stacks preferred
  

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices: San Francisco, CA or Seattle, WA.

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

From our home in Janesville, Wisconsin, Impact Confections has been delighting candy lovers with bold flavors and timeless favorites for generations. We’re proud to be the makers of WARHEADS®, the iconic sour candy that dares taste buds everywhere, and the classic Melster® Candies, known for nostalgic treats like Circus Peanuts and seasonal delights that families have cherished for decades.

SUMMARY

We are seeking a Senior Food Scientist with 5 years of industry experience to contribute to the development, testing, and optimization of innovative confectionery products. This role combines hands-on work with applied research and development (R&D), offering the opportunity to take ownership of projects and drive product innovation from concept to commercialization. The ideal candidate brings a strong technical foundation in food science, practical experience in product development, and a passion for delivering high-quality, market-ready solutions.

This opportunity offers a dynamic environment where your expertise directly shapes product innovation. Opportunities to lead projects and influence the future of our product portfolio. Professional growth through exposure to multiple aspects of food R&D with competitive compensation and benefits package. This is a hybrid opportunity the employee must be able to work onsite 3-4 days per week.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Product Development & Innovation

• Lead the formulation and development of new food products, from concept through commercialization.
• Independently conduct ingredient research, prototyping, and iterative product improvements.
• Apply sensory and consumer insights to refine product performance and quality.

Laboratory Testing & Analysis

• Design and execute experiments to evaluate product stability, shelf life, and sensory attributes.
• Conduct physical, chemical, and sensory analyses with minimal supervision.
• Interpret and report test results, providing recommendations for technical improvements.

Research & Documentation

• Stay current with emerging food technologies, ingredients, and regulatory developments.
• Prepare and maintain accurate technical documentation, reports, and specifications.
• Present findings to cross-functional teams and provide data-driven recommendations.

Collaboration & Project Leadership

• Partner with Quality, Production, and Marketing to ensure successful scale-up and launch of products.
• Support pilot plant trials and full-scale manufacturing runs.

QUALIFICATIONS

• Strong knowledge of food safety principles, HACCP, and regulatory compliance.
• Experience in scaling formulations from lab to production.
• Excellent organizational, problem-solving, and analytical skills.
• Strong communication skills, with the ability to collaborate across cross-functional teams.

EDUCATION and/or EXPERIENCE

Bachelor’s degree in food science, Food Technology, Chemistry, or related field.

At least 5 years of food industry experience (confectionery experience preferred) demonstrated success in product development and R&D.

SUPERVISORY RESPONSIBILITIES

There are no supervisory responsibilities with this role.

COMPUTER SKILLS

Performs basic database updates, queries and searches, and printing of documents/reports.

LANGUAGE SKILLS

Ability to communicate with co-workers and/or read instructions or written standards in English.

MATHEMATICAL SKILLS

Ability to perform or learn basic mathematic skills as needed, such as basic accounting terminology.

REASONING ABILITY

Ability to apply common sense understanding to carry out basic step instructions. Ability to deal with standardized situations with only occasional or limited variables.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

WORK ENVIRONMENT

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Industry: Pharmaceuticals

Title: Senior Associate Scientist

Job ID: CAMB000127

Location: Cambridge MA

Duration: 09 months contract (+Possibility of extension)

Overview

The experienced Research Associate Scientist II, with a background in in vitro screening, will be part of our dynamic, fast-paced and interdisciplinary lead development team. Our mission is to advance Client RNAi therapeutic programs from target discovery through lead candidate selection. The Associate Scientist II will be technically skilled in molecular and/ or cell biology, and bring a rigorous, analytical approach to research.

This position is onsite and will be primarily located in Cambridge, MA.

Key Responsibilities

• Perform cell culture (iPSCs, primary cells, immortalized cell lines) to support the research needs of the group and high-throughput screening of siRNAs using qPCR and a variety of cell-based assays
• Execute day to day operations for RNASeq sample preparation, including: library preparation, QC and sequencing. Maintain sample tracking & records.
• Conduct assays that support in vivo studies (e.g. qPCR, ELISA) for the quantitative analysis of biomarkers or siRNA activity
• Support lab maintenance including equipment operation & maintenance , reagent inventory and reagent preparation
• Troubleshoot technical problems and participate in the continuing development and optimization of existing and new protocols.
• Utilize instrumentation and robotics to aid in high throughput (384-well) screening.
• Adapts well to the changing platform needs, in workflow, projects and other tasks as required by the platform.

Qualifications

• A BS in a biological science with at least 2 years of hands-on laboratory experience in cell or molecular biology are required
• Experience in cell culture and purification/quantification of nucleic acids/protein, including qPCR
• Experience with NGS workflow is desired
• Experienced with laboratory automation including liquid handling systems such as Perkin Elmer JANUS, Beckman i7 or other systems.
• The candidate should be intensely detail oriented, highly motivated, capable of managing multiple projects simultaneously, desire to drive innovation, and willingness to learn
• We particularly seek someone who is detail oriented and who will flourish in a goal-driven team environment under tight deadlines.
• Excellent interpersonal skills with the ability to work well with others in a dynamic and highly collaborative environment.

Comment Must-Have Skills/Experience

• Cell culture (including iPSCs, primary cells, immortalized lines)
• Experience with qPCR and other cell-based assays
• At least 2 years of hands-on lab experience Nice-to-Have Skills
• Experience with RNA sequencing (RNASeq) – library prep, QC, and sequencing
• Familiarity with liquid handling systems/automation (e.g., PerkinElmer JANUS, Beckman i7)
• Exposure to NGS workflows
• Minimum Education Bachelor's degree in biology or related field Master's degree preferred, but not required Work Experience
• At least 2 years of lab experience (no fresh graduates)
• Needs to be comfortable working independently and multitasking in a fast-paced lab environment Soft Skills / Culture Fit - Proactive and dependable
• Able to work independently and figure things out without constant direction
• Easygoing but motivated and ambitious
• Strong communication and collaboration skills

Must-Have Technical Skills:

• Complex in vitro experience
• iPSC experience
• 3D models
• Mammalian cell culture
• CRISPR
• qPCR
• RNA work
• Transfection

Senior Data Modeler

Hybrid 3-4 days onsite

Location: Phoenix, Arizona

Salary: $130,000 - $150,000 base

A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business.

This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams.

What You’ll Be Working On

• Designing and implementing enterprise data models across conceptual, logical, and physical layers
• Establishing Medallion architecture patterns and reusable modeling assets
• Building dimensional and semantic models that support analytics and reporting
• Partnering closely with domain experts and functional leaders to translate business needs into data structures
• Collaborating with data engineers to align models with ELT pipelines and analytics frameworks
• Helping define modeling standards and upskilling senior engineers in modern data modeling practices
• Contributing hands-on to data engineering work where needed (SQL, transformations, optimization)
• Proactively identifying analytics opportunities and recommending data structures to support them

This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration.

Must-Have Experience

• Strong, hands-on experience with data modeling (dimensional, canonical, semantic)
• Deep understanding of Medallion architecture
• Advanced SQL and experience working with a modern cloud data warehouse
• Experience with dbt for transformations and modeling
• Hands-on experience in cloud-native data environments (AWS preferred)
• Ability to work directly with business stakeholders and explain technical concepts clearly
• Experience collaborating closely with data engineers on execution

Nice to Have

• Python experience
• Familiarity with Informatica or reverse-engineering legacy data models
• Exposure to streaming or near-real-time data pipelines
• Experience with visualization tools (tool choice is flexible)

Who Will Thrive in This Role

• A senior individual contributor who enjoys building from scratch
• Someone who can act as a modeling expert and mentor in an organization formalizing this practice
• Comfortable working in ambiguity and taking initiative
• Strong communicator who enjoys partnering with both technical and non-technical teams
• Equally comfortable discussing business concepts and physical data models

Why This Role Is Unique

• Greenfield data modeling initiative with real influence
• Opportunity to define standards that will be used across the organization
• Work on large-scale, real-world operational and analytical data
• High visibility within a growing data organization
• Flexible work setup for individual contributors

If you’re excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.

Resource 1 is in need of a Sr. Data Architect/ Modeler for a long-term contract in downtown Chicago. Our client requires 2 days/week onsite (Tues/Wed or Tues/Thurs), so candidates must be local.

The consultant will join a Dynamics 365 implementation project to lead data migration, Dataverse/ CDM data modeling, and analytics enablement for various business units. They will design and validate data models and guide migration/testing efforts.

Responsibilities:

• Lead data migration strategy and roadmap for the Dynamics 365 implementation.
• Design, document, and validate Dataverse/ CDM data models and entity relationships for D365 use cases.
• Own CDM‑centric data design: map legacy/ source systems to Dynamics 365 CE & F&O CDM entities, identify gaps, propose extensions, and document modeling decisions.
• Establish best practices for CDM usage, lineage, versioning, and review gates.
• Assess downstream impacts of model and migration changes and define additional data capture or retention needs.
• Guide and review ETL/pipeline implementation with data engineering team using Synapse/ ADF/ Fabric and ADLS Gen2.
• Participate in the gathering of reporting and operational requirements and translating them into data model and migration specifications.

Required Skills & Experience:

• Experience with Common Data Model (CDM) and Dynamics 365 (CE and/or F&O) data.
• Prior experience working on a Dynamics 365 migration project.
• Experience with Dataverse/ CDM data modeling.
• Familiarity with Microsoft data stack including Synapse, ADF, Fabric and ADLS Gen2.
• Ability to develop and execute test plans, validate migrations, and identify downstream reporting impacts.