Amazon Machine Learning Data Associate Salary Jobs in Usa

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Staff Data Scientist – Post Sales

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth.

About the Role

As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.

Key Responsibilities

• Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
• Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
• Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
• Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
• Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
• Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.

About You

• Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
• Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
• Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
• Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
• Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

AI Data & Python Tools Engineer

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

Responsibilities:

• Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
• Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
• Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
• Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
• Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

• 3+ years of Python Development with a background in back end services and data processing
• Exposure to AI/ML algorithms
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of LLMs, vector databases, and retrieval systems
• Experience with Model Context Protocol (MCP) integration and server development

Big Data & Cloud Infrastructure

• Knowledge of building and deploying cloud based applications
• Hands-on experience with cloud data platforms (AWS/GCP/Azure)
• Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

• Experience building web applications with modern frameworks (React, Vue, or Angular)
• API development and integration experience
• Basic UX/UI design sensibilities for internal tooling
• Experience with real-time data processing and analytics
• Background in building developer tools or internal platforms
• Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
• Experience building MCP servers and integrating with AI assistants
• Knowledge of structured data exchange protocols and API design for AI systems.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

*Relocation assistance can be offered based on individual needs and circumstances*

Open date: June 10, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Nov 25, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The College of Computing, Data Science, and Society at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach CDSS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About CDSS:

Established July 1, 2023, the College of Computing, Data Science, and Society (CDSS) is the first new college at Berkeley in over 50 years. The College was created to meet the demands and opportunities at a time when data touches nearly every aspect of our lives. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change.

CDSS offers outstanding undergraduate major programs in Computer Science, Data Science, and Statistics. Over 1,500 students graduated with a degree in these majors in Spring 2024, and one in four held a second major in another discipline. CDSS undergraduates study with faculty from a wide range of fields, where they gain the knowledge, skills, and experiences needed to succeed in today's datafied world, interact with data ethically, and masterfully engage as informed leaders.

CDSS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities:

CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. We are particularly interested in instructors who can teach courses that satisfy the Human and Social Dynamics of Data and Technology requirement for the college. This requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice.

Teaching a CDSS course may include holding office hours, assigning grades, advising students, preparing course materials (e.g.,slides, syllabus, homework assignments), providing clear and prompt feedback on student work, and maintaining the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

We are seeking a skilled and motivated Data Privacy & Cybersecurity Attorney to join an industry-leading team advising private and public companies of all sizes across a variety of industries, including artificial intelligence and machine learning, cloud computing, software, and fintech. This high-impact role offers the opportunity to engage directly with clients, lead significant matters, and work across a broad range of privacy, data, and cybersecurity issues in both transactional and advisory contexts. The salary wage range for this job posting is $250,000 to $435,000.

Responsibilities:

• Advise clients on cyber, data, and privacy compliance across a full range of matters, including CCPA/CPRA, GDPR, HIPAA, CIPA, and other applicable state and federal privacy laws
• Counsel on privacy, data processing, and cybersecurity matters in connection with corporate and technology transactions, including mergers and acquisitions, public offerings, and other commercial and strategic transactions
• Draft and negotiate data processing agreements, privacy schedules, and related commercial agreements
• Conduct information security and privacy due diligence for corporate transactions
• Advise on data breach response, incident response planning, and related regulatory obligations
• Monitor and advise on emerging AI laws, regulatory standards, and enforcement trends
• Support or lead matters involving litigation and/or regulatory enforcement relating to data privacy and cybersecurity

Qualifications Required:

• J.D. from an ABA-accredited, nationally recognized law school with excellent academic credentials
• 4+ years of experience advising clients on data privacy, cybersecurity, and related compliance matters, in a private law firm or in-house setting
• Active member in good standing with the California State Bar
• Expertise in CCPA/CPRA, GDPR, HIPAA, CIPA, and other state and federal privacy frameworks
• Experience with transactional work, including mergers and acquisitions, capital markets, or technology transactions
• Excellent legal writing, drafting, negotiation, and analytical skills
• Strong verbal, written, and interpersonal communication skills with both legal and technical stakeholders

Preferred:

• CIPP certification
• Experience with regulatory policy, enforcement matters, and/or data privacy litigation
• Familiarity with emerging AI regulatory frameworks
• Experience in technology industries

Interested candidates should apply with their resumes. If you are a potential fit, we will schedule a confidential conversation.

We’re hiring a Data Insights Analyst to join a growing analytics team focused on turning large, complex datasets into clear, actionable insights that drive business decisions. This is a hands-on role for someone who enjoys digging into data, working with Python and SQL, and partnering with leaders to understand what’s really happening in the business. You’ll work across multiple functions and contribute directly to high-impact initiatives around forecasting, performance analysis, and strategic decision-making.

Keys to an Interview: Data Insights Analyst | CPG Manufacturing

• 2-5 years' Data Science and/or Business Analyst experience
• Master's Degree preferred
• Strong working experience with Python for data analysis (and exposure to machine learning is a major plus)
• Advanced SQL skills with the ability to pull and manipulate data from large data warehouses
• Ability to interpret existing dashboards and datasets and identify meaningful insights
• Clear communication skills and comfort explaining technical findings to non-technical stakeholders
• Comfortable working on-site, with flexibility

Key Responsibilities: Data Insights Analyst | CPG Manufacturing

• Analyze large, complex datasets to identify trends, opportunities, and risks across the business
• Leverage Python, SQL, Excel, and Power BI to deliver actionable insights and recommendations
• Build and enhance analytical models to support forecasting, budgeting, and strategic planning
• Develop, maintain, and improve dashboards and reporting used by leadership
• Clean, transform, and validate data to ensure accuracy and consistency
• Partner cross-functionally to understand business questions and translate them into data-driven solutions
• Present findings clearly and concisely to senior stakeholders
• Support automation and process improvements to increase analytical efficiency
• Contribute to high-visibility initiatives that influence growth and long-term strategy

• We love all pets like our own
• We’re the future of the pet industry
• We’re here to improve lives
• We drive outstanding results together
• We’re welcome as we are
  

• Leverage advanced analytical techniques and programming languages to mine through massive data sets and isolate patterns in customer purchase behavior, store performance, and competitive pricing schemes (predictive modeling, clustering, design of experiments, etc).
• Work with other team members to influence strategic decisions and create accurate financial forecasts based on deep customer behavior analyses with tangible recommendations to optimize customer acquisition, retention, and lifetime value.
• Utilize exceptional communication skills to present findings across the business by effectively translating complex data and analysis into clear insights, opportunities, and tangible business recommendations;
• Develop reports, dashboards and build compelling data visualizations that effectively measure, track, and quantify changes in customer behavior and spend patterns.
• Contribute to complex long-term projects from initial scoping through full execution and training with inputs from a variety of cross-functional teams (IT, Merchandising, Marketing).
• Collaborate with data science team as an expert on the business by providing direction on how to best leverage advanced modeling techniques and machine learning algorithms to achieve strategic objectives and business goals.
• Display deep intellectual curiosity, creativity, and commitment to learning in order to solve critical business problems and push the boundary of our capabilities.
  

• Bachelor’s degree in economics, statistics, math or related business field; Master’s preferred
• Minimum of 1 years of experience in analytics or statistics capacity, 2 years ideal
• Experience with statistical programming languages required (R a must, Python, SAS)
• Experience building large data sets across disparate sources required (SQL, Hive, Hadoop)
• Desire to learn new analytic and data manipulation techniques to become an ‘local expert’
• Advanced presentation skills required (PowerPoint, Adobe Photoshop/Illustrator, R packages)
• Experience with pricing, merchandising, marketing and the retail industry strongly preferred
• Ability to think conceptually and creatively about problems and solutions
• Strong interpersonal communication skills, verbal and written, required due to the nature and level of interaction with senior management
• Demonstrated ability to prioritize workload and ability to manage multiple projects while meeting deadlines
  

Open date: July 1, 2025

Most recent review date: Tuesday, Jul 15, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Department of Statistics at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department.

We hire a number of qualified professionals and academics to hold temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below.

Teaching Responsibilities:

STATISTICS 2: Introduction to Statistics

STATISTICS C8: Foundations of Data Science

STATISTICS 20: Introduction to Probability and Statistics

STATISTICS 21: Introduction to Probability and Statistics for Business

STATISTICS 33A: Introduction to Programming in R

STATISTICS 33B: Introduction to Advanced R

STATISTICS 88: Probability and Mathematical Statistics in Data Science

STATISTICS C100: Principles and Techniques of Data Science

STATISTICS 131A: Statistical Methods for Data Science

STATISTICS 133: Concepts in Computing with Data

STATISTICS 134: Concepts of Probability

STATISTICS 135: Concepts of Statistics

STATISTICS 150: Stochastic Processes

STATISTICS 151A: Linear Modeling: Theory and Applications

STATISTICS 153: Time Series

STATISTICS 154: Modern Statistical Prediction and Machine Learning

STATISTICS 155: Game Theory

STATISTICS 159: Reproducible and Collaborative Statistical Data Science

General Duties:

General duties include developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary.

TSP (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' 3-week format in late July and early August .

Department:

Division:

To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit::

Statistics Course Descriptions: courses/stat/

The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree).

Additional qualifications include evidence of college level instructional experience.

Preference for a PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Philosophy and Experience

  
  

• Teaching Documentation - Teaching materials and/or student evaluations.

  
  

• Copy of Transcript (Optional)

  
  

• 2-3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

OFFICIAL JOB TITLE: Institutional Research Associate

DIVISION: Academic Affairs

DEPARTMENT: Institutional Research and Assessment

BARGAINING UNIT STATUS: ESU, Cat 12

REPORTS TO: Director of Institutional Research and Assessment

SUPERVISES: N/A

SUMMARY PURPOSE OF POSITION: Supports institutional research functions in data extraction, interpretation, and presentation and helps implement a variety of data inquiries and information collection activities; extracts data from complex files and systems including the campus enterprise system (across its functional areas including students, human resources, finances, and other system areas) and Institutional Research and UMass databases; translates extracted data into other data structures for specific reports (such as the HEIRS data system for reporting unit data to the Massachusetts Department of Higher Education); applies expertise in data interpretation ensuring consistent and auditable results and interacts with campus staff and representatives of external organizations to validate existing data, obtain new data, and support information and data needs; reports data extraction and inquiry results in a variety of complex formats, including in-house publications and reports, ad-hoc reports or inquiries, and external surveys or other external data reports that can be at the federal or state levels.

EXAMPLES OF PRIMARY DUTIES AND RESPONSIBILITIES:

• 
  
• Extracts data from complex files and systems including the campus enterprise system and creates and maintains SPSS databases and dictionaries.
  
• Translates extracted data into other data structures for specific reports, such as those for the comprehensive HEIRS data system for reporting unit data to the Massachusetts Department of Higher Education.
  
• Applies expertise in data interpretation using the enterprise information system (PeopleSoft) and IR/UMass databases, ensuring consistent and auditable results across the functional areas of the enterprise system (including students, human resources, finances, and other system areas). Interpretation includes accurate application of data definitions/look-up tables and the application of subtotals, percentages, averages, percentiles, and similar functions.
  
• Interacts with campus staff and representatives of external organizations to validate existing data and obtain new data and supports information and data needs for other campus units as assigned.
  
• Reports data extraction and inquiry results in a variety of complex formats, including in-house publications and reports, ad-hoc reports or inquiries, and external surveys, especially for college handbooks and the Common Data Set, and for other external data reports that can be at the federal or state levels.
  
• Performs other related duties as assigned.
  

MINIMUM QUALIFICATIONS:

• 
  
• EDUCATION: Bachelor's Degree in a related field
  
• EXPERIENCE: Demonstrated (over 3 years) experience in the general field of programming, data extraction, and reporting.
  
• OTHER: May need to be available for evening/weekend hours as needed; some travel to off-campus locations may occur
  

PREFERRED QUALIFICATIONS:

• 
  
• Experience in a college/university or other institutional setting performing management reporting and analysis
  
• Experience in a higher education setting
  
• Experience with enterprise system reporting and analysis
  
• Experience in using the PeopleSoft enterprise information system and the OBIEE inquiry tool
  
• Experience working in a data warehouse environment
  

KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

• 
  
• Ability to learn data values and interrelationships in a comprehensive enterprise information system and apply them in a range of specific contexts and reports.
  
• Demonstrated database and reporting skills including SQL queries, OBIEE or related reporting tool, and SPSS and/or Excel to perform analyses and general reports.
  
• Ability to provide professional-level accuracy and precision of interpretation of complex sets of data.
  
• Able to manage multiple competing priories and projects
  
• Knowledge of basic statistical applications.
  

SALARY: $52,756.00 to $65,945.20

UMass Dartmouth offers exciting benefits such as:

• 
  
• 75% Employer-Paid Health Insurance
  
• Flexible Spending Accounts
  
• Life Insurance
  
• Long Term Disability
  
• State Pension Retirement Plan
  
• Optional Retirement Savings Plans
  
• Tuition Credit (Employee, Spouse, & Dependents)
  
• Twelve (12) paid holidays
  
• Paid personal, vacation, and sick time
  
• And More!
  

Benefits for ESU Union: ESU

Applicants must be authorized for employment in the U.S. on a full-time basis. Employment-based visa sponsorship is not available.

To apply please submit a letter of interest, a current resume and the contact information for three professional references.

The posting deadline for early consideration for internal ESU applicants is January 30, 2026.

The review of applications will be ongoing until the position is filled.

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:

We are seeking a dynamic and strategic Associate Category Manager to support the development and execution of the merchandising strategy for Really Good Stuff's Curriculum/STEM category. This role plays a key part in driving revenue and margin goals through effective category management, merchandising presentations, promotional planning, and inventory forecasting.

The Associate Category Manager will help bring the merchandising vision to life across , Amazon marketplaces, and print channels, partnering cross-functionally to ensure strong execution, optimized assortments, and compelling customer experiences.

Essential Duties and Responsibilities

Category Strategy & Execution

• 
  
• Support the development and execution of category strategies for assortment, pricing, promotions, and visual merchandising across eCommerce, retail, and marketplace channels.
  
• Assist in driving customer engagement and loyalty while helping attract new target customers through digital and print channels.
  

Competitive Analysis & Product Innovation

• 
  
• Maintain competitive intelligence and contribute actionable insights and recommendations.
  
• Support the onboarding of new and innovative products, assisting with testing, learnings, and ongoing refinement.
  

Data-Driven Merchandising

• 
  
• Leverage data and analytics to inform short- and long-term merchandising decisions.
  
• Monitor eCommerce site performance and recommend adjustments based on inventory levels, sales trends, and optimization opportunities.
  

Inventory & Supply Chain Collaboration

• 
  
• Partner with supply chain and replenishment teams to support inventory optimization, fulfillment performance, and financial outcomes.
  
• Assist in developing, testing, and refining channel-specific pricing and promotional strategies.
  

Visual Merchandising & Content

• 
  
• Support execution and optimization of visual merchandising and product content strategies.
  
• Identify opportunities to improve site conversion using performance metrics, industry best practices, and business goals.
  

Vendor & SKU Management

• 
  
• Assist in managing vendor relationships to support pricing, assortment, exclusives, rebates, coop dollars, and first-to-market initiatives.
  
• Support SKU performance analysis, including projections, minimum order quantities, and identifying underperforming items.
  

Cross-Functional Collaboration

• 
  
• Partner with sales, marketing, product development, and operations teams to support category initiatives and customer-specific needs.
  
• Ensure adherence to product data accuracy, compliance labeling, packaging, and quality assurance testing standards.
  

Reporting

• 
  
• Contribute to weekly performance reporting, highlighting key insights, risks, and recommended actions.
  

Experience / Requirements

• 
  
• 3+ years of eCommerce experience required.
  
• 3+ years of experience in merchandising and category management required.
  
• Experience in education, curriculum, STEM, or seasonal businesses with large assortments and high SKU counts is a plus.
  
• Exposure to private brand management and collaboration with product development teams preferred.
  
• Strong understanding of eCommerce merchandising best practices and digital user experience.
  
• Experience with pricing and margin optimization tactics.
  
• Analytical, data-driven mindset; experience using AI-powered or advanced analytics tools is a plus.
  
• Excellent written and verbal communication skills with strong cross-functional collaboration abilities.
  
• Highly organized, detail-oriented, and proactive.
  
• Comfortable working in a fast-paced, evolving environment.
  
• Entrepreneurial mindset with the ability to navigate ambiguity.
  

Why Join Really Good Stuff / Excelligence Learning Corp

This role offers an exciting opportunity to grow within a high-impact merchandising team, helping shape the future of our Curriculum/STEM category while developing deeper category management and eCommerce expertise in a collaborative, mission-driven environment.

Excelligence is an Equal Employment Opportunity (EEO) Employer.

We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion or creed, gender, sex, pregnancy, gender identity or expression, sexual orientation, marital status, national origin or ancestry, ethnicity, citizenship status, genetic information, military or veteran status, age, physical or mental disability, or any other protected classification.

Amazon delivery partner opportunity – Earn $17.00
- $30.50/hrWhat is Amazon Flex? Use your vehicle and smartphone to earn extra money delivering with a brand you trust.

With Amazon Flex, you only deliver when you want to.

Amazon Flex pays delivery partners for completing delivery blocks.

No experience necessary.

Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $17.00
- $30.50 an hour
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You also get to choose which weekday(s) you get paid.

Make your earnings go further with Amazon Flex Rewards.With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner.

From tires, fuel and auto services to slip-resistant shoes – plus tools to help navigate insurance, expenses, and taxes – there are plenty of ways to save money and time.Start delivering today.
*Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.Self-employed / No-contractWho can deliver with Amazon Flex? S.

driver's license, access to a mid-sized or larger vehicle, and have an i Phone or Android smartphone.Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m.

– PT) or click "apply" below to learn more.

Amazon delivery partner opportunity – Earn $17.00
- $30.50/hrWhat is Amazon Flex? Use your vehicle and smartphone to earn extra money delivering with a brand you trust.

With Amazon Flex, you only deliver when you want to.

Amazon Flex pays delivery partners for completing delivery blocks.

No experience necessary.

Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $17.00
- $30.50 an hour
* delivering packages.

You also get to choose which weekday(s) you get paid.

Make your earnings go further with Amazon Flex Rewards.With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner.

From tires, fuel and auto services to slip-resistant shoes – plus tools to help navigate insurance, expenses, and taxes – there are plenty of ways to save money and time.Start delivering today.
*Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.Self-employed / No-contractWho can deliver with Amazon Flex? S.

driver's license, access to a mid-sized or larger vehicle, and have an i Phone or Android smartphone.Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m.

– PT) or click "apply" below to learn more.

Amazon delivery partner opportunity – Earn $17.00
- $30.50/hrWhat is Amazon Flex? It's simple! Use your vehicle and smartphone to earn extra money delivering with a brand you trust.

With Amazon Flex, you only deliver when you want to.

Amazon Flex pays delivery partners for completing delivery blocks.

When you schedule a block, you'll know when you're delivering, for how long, and how much you can earn before you begin.

No experience necessary.

Choose the delivery blocks that fit your schedule, then get back to the things you enjoy most.Deliver.

Earn.

Achieve.

Repeat.Whether you're saving up for something special or just want some extra money for day-to-day expenses, most drivers earn $17.00
- $30.50 an hour
* delivering packages.

You also get to choose which weekday(s) you get paid.

You can decide to get paid every day to get your money faster, or pick just one day so you can streamline your finances.Make your earnings go further with Amazon Flex Rewards.With Amazon Flex Rewards, you have access to perks that include cash back and exclusive savings on essential items you may need as an Amazon Flex delivery partner.

From tires, fuel and auto services to slip-resistant shoes – plus tools to help navigate insurance, expenses, and taxes – there are plenty of ways to save money and time.Deliver smiles, backed by Amazon.Packages make great passengers.

Start delivering today.
*Most drivers earn $17.00
- $30.50 an hour.

Actual earnings will depend on your location, any tips you receive, how long it takes you to complete your deliveries, and other factors.Self-employed / No-contractWho can deliver with Amazon Flex? You must be 21 years old, have a valid U.

S.

driver's license, access to a mid-sized or larger vehicle, and have an i Phone or Android smartphone.Questions? Contact Amazon Flex Driver Support at 888-281-6906 (5 a.m.

– 7 p.m.

PT) or click "apply" below to learn more.