Data Entry Job Description Sample Jobs in Usa

• 
  
• Own and grow a defined portfolio of Tier-1 and Tier-2 data center accounts, including operators, hyperscalers, and large enterprise customers
  
• Develop and execute multi-year account plans focused on share-of-wallet growth, service line expansion, and long-term partnerships
  
• Establish executive-level relationships (Director, VP, and C-Suite) across customer organizations
  
• Approximately 40% travel
  

• 
  
• Consistently achieve or exceed annual bookings and gross-profit targets
  
• Originate, qualify, and close complex opportunities
  
• Drive cross-sell and upsell opportunities across Delivery and Services lines of business
  
• Maintain disciplined pipeline management, forecasting accuracy, and deal qualification standards
  

• 
  
• Lead the full pursuit process including discovery, solution shaping, pricing strategy, and commercial negotiations
  
• Partner closely with Preconstruction, Estimating, Engineering, and Operations to deliver technically and financially sound proposals
  

• 
  
• Represent the company in the local and national data center ecosystem, including industry events, operator forums, and partner meetings
  
• Collaborate with OEMs, GCs, ECs, developers, and design partners to influence early project positioning
  
• Provide market intelligence on customer buying behavior, competitor activity, and emerging service demand
  

• 
  
• Serve as a senior commercial leader and role model within the sales organization
  
• Mentor junior sellers or inside sales partners supporting assigned accounts
  
• Act as the voice of the customer internally, ensuring alignment between sales commitments and delivery execution
  

• 
  
• Bachelor's degree or Associate's degree preferred
  

• 
  
• 10+ years of B2B sales experience, with significant experience selling into the data center industry
  
• Proven success managing and growing large, complex strategic accounts
  
• Demonstrated experience selling construction, commissioning, controls, or technical services in mission-critical environments
  
• Strong understanding of data center delivery models, buying cycles, and stakeholder dynamics
  
• Track record of closing multi-million-dollar deals and managing long sales cycles
  
• Exceptional executive presence, communication, and negotiation skills
  
• Must be a US Citizen
  

• 
  
• Experience working with or selling to Hyperscalers, Colocation Providers, or Fortune 500 Enterprises
  
• Background in White Space Fit-Out, Commissioning, Controls, or Integrated Data Center Services
  
• Experience operating within a private-equity-backed or high-growth environment
  
• Familiarity with Ashburn, Phoenix, or Dallas data center markets and customer ecosystems
  

• 
  
• Annual bookings and gross-profit attainment
  
• Strategic account growth and penetration
  
• Pipeline health and forecast accuracy
  
• Customer retention and expansion
  
• Cross-line-of-business revenue contribution
  

• 
  
• Microsoft Office Suite or related software.
  

• 
  
• No supervisory responsibilities for this position.
  

• 
  
• Prolonged periods of sitting at a desk and working on a computer.
  
• Must be able to lift 15 pounds at times.
  
• Frequently required to stand, walk, stoop, kneel, crouch, or crawl.
  

• 
  
• CPG offers a competitive and comprehensive package that includes additional benefits beyond enhanced medical, dental, and vision coverage
  
• Health Benefits - (Medical, Dental & Vision Insurance)
  
• Flexible Spending Account Options
  
• 401K Plan
  
• Employer paid Life & Disability Insurance
  
• Paid Time Off
  
• Employee Referral Program
  
• Employee Assistance Program (EAP)
  

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#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

Job Description:

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.

How you will make an impact:

• Develop and maintain shared semantic models in Power BI using star schema design.

• Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.

• Define and implement best practice report/data management through Microsoft Fabric integrations

• Review and maintain reports for performance optimizations, style consistency, and best practice improvements.

• Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.

• Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.

• Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.

We are looking for people who have:

• Experience (4+ years) in Data Modelling, Data Analysis, or similar.

• Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.

• Demonstrated proficiency creating SQL queries to manipulate large datasets.

• Strong analytical and problem-solving skills, with a focus on best practice and data governance.

• Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.

• Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.

• Experience with BigQuery or other data warehousing platforms.

We power infinite possibilities.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.

We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

When applying, please attach your resume/CV to be considered.

Salary Range:

Job Posting Title:

Location:

Job: Data-MDM Architect (Profisee) with BA/PM experience

Location: Waukesha/Milwaukee, Wisconsin

Mode: Work from office, at least 3 days in a week

Primary Purpose

• Responsible for designing and architecting data/MDM solutions, analyzing, implementing, and deploying these solutions both on-premises and in the cloud. By collaborating with diverse business teams and utilizing extensive knowledge of big data tools and products, creates scalable, flexible, and comprehensive data solutions that tackle complex business challenges.

Major Responsibilities

• Manage the technical delivery of medium to large, moderately complex projects on-time with targeted zero defects.
• Provide planning, estimation, scheduling, prioritization and coordination of technical activities related to Enterprise-wide data solutions on both cloud and on premises.
• Ensure solutions alignment to Enterprise Architecture policies and best practices; ensure that process methodologies are followed in development.
• Accountable to business and technology management for end-to-end application scoping, planning, development and delivery that meets and exceeds quality standards.
• Identify and manage dependencies and downstream impacts of the project to minimize adverse effects on other projects and / or programs.
• Assist Project manager with the estimation of technical timelines and allocation of the technical resources to specific task.
• Communicate Expectations, Roles and Responsibilities to team members and hold them accountable to meet the expectations.
• Collaborate with IT partners to devise capacity plan and ensure appropriate infrastructure for the end-to-end system delivery.
• Supervise contingent workers and their daily tasks including onshore and offshore staff.
• Identify valuable data sources and automate collection processes.
• Maintain data accuracy and timeliness, a critical highly visible aspect of the position as it impacts supply chain and sales effectiveness, financial performance of the business, and customer perception through on-time delivery, working capital, financial reporting accuracy and product quality.
• Architect and design master data to drive towards “Single source of the truth”.
• Regularly monitor and measure performance of MDM standards.
• Performs problem and trend analyses to identify and correct problems and increase data quality.
• Review / Approve execution of data changes.
• Track and report through the CAB review board.
• Develop SLA’s and ensure they are met.
• Drive data mapping workshops for migrations.
• Coordinate and participate in the ETL (extract, transform, load) process for any migrations.
• Plan and architect M&A initiatives and integrations

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*

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.

Support Center - Irving

The Manager – Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.

Major Activities

• Strategic Thought Leadership
• Design and execute analytics projects to quantify impact from various marketing campaigns
• Work with business partners to identify the challenges that needs to be quantified
• Act as subject matter expert for all projects in which involved

Data Analytics

• Mine extensive database in support of business insights and measurement
• Develop well-thought, actionable insights using advanced analytics techniques
• Determine best approach for each analysis and articulate pros/cons of methodology
• Ensure quality of data used in analysis and all presentation material
• Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
• Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships

• Manage internal client relationships and serve as the SME for analytics within the CRM function
• Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
• Provide strategic recommendations based on analyses tied to the organization’s goals that will drive business results
• Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Staff Management & Development

• Manage a team of data scientists
• Mentor analysts regarding analytics best practices, methodologies, and programming techniques
• Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned

Minimum Knowledge/Skills/Abilities

Minimum Education

• Bachelor’s degree in relevant quantitative field required, Master’s preferred

Minimum Special Certifications or technical skills

• Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
• Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires

• A minimum of 5 years of relevant work experience in data science for a consumer centric company
• Proven experience partnering with business decision makers on advanced analytics topics
• Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other

• Work as a self-starter, not waiting for direction from senior leadership

Preferred Education

• Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at and . The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.

Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-8 MICHAEL).

EEOC Know Your Rights Poster in English

EEOC Know Your Rights Poster in Spanish

EEOC Poster Optimized for Screen Readers

Federal FMLA Poster

Federal EPPAC Poster

Role: Data & Analytics Technical Program Manager (TPM)

LOCATION: PHOENIX, AZ (HYBRID)

Full-Time/Direct Hire

Overview

We are looking for a Data & Analytics TPM to lead delivery of enterprise data initiatives and help

scale the company’s analytics platform. This role will coordinate data engineering, analytics, and

business teams to deliver high-impact data products and insights.

Ideally we need someone who is comes from a core hands-on technical Data & Analytics background and transitioned in to Program Management.

Responsibilities

• Lead delivery of data platform and analytics programs.
• Manage initiatives across Snowflake, data pipelines, and BI analytics.
• Coordinate data engineering, analytics, and business stakeholders.
• Track roadmap, milestones, and execution for data initiatives.
• Drive adoption of dashboards, data products, and analytics capabilities.

Qualifications

• 5–8+ years in Technical Program Management or Data/Analytics programs
• Must have experience Technical experience in Snowflake, ETL, BI Analytics, AWS Cloud.
• Experience with modern data platforms (Snowflake, ETL pipelines, cloud)
• Strong stakeholder and program management skills
• Experience working with data engineering and analytics teams

Data Analytics Internship 

Los Angeles, CA, USA (Hybrid role) 

Part-Time, $17.87/hr, Mid-April 2026 to Mid-August 2026.  

DailyLook, a subsidiary of Victoria’s Secret & Co. (NYSE: VSCO) since being acquired in December 2022, is seeking a Data Analytics Intern. This internship offers the opportunity to work across 2 key teams at Dailylook: Demand Planning and Data Growth. The intern will be at the core of the business, leveraging data and analytics to support strategic initiatives and help drive data-informed improvements across operations, inventory planning, and growth initiatives. This is a great chance to gain hands-on experience working with real business data while contributing to impactful decisions! 

Qualifications for the Position 

1. A degree in (or a junior, senior or graduate student pursing a degree in): data science, statistics, computer science, economics (quantitative track), applied analytics, mathematics or business analytics. 
2. GPA 3.3+ preferred 
3. Coursework or experience in: Statisical analysis, data analytics, machine learning. 
4. Experience with database systems, SQL and Python 
5. Familiarity with BI tools such as Looker or Tableau. 
6. Exemplary interpersonal communication skills both verbal and written 
7. Highly motivated, collaborative 
8. Experience in a Startup or Retail industry is an extra plus! 
9. An intellectually curious team player with a no-compromises approach to work quality, attention to detail, organization, and the ability to manage multiple priorities and projects in a fast-paced environment 
10. Self-motivated, detail-oriented, hands-on go-getter with the ability to build and suggest overhaul processes where needed, take initiative, work independently and proactively, multi-task, and remain flexible with changing priorities 
11. “I’ll find a way!” mindset where you can leverage your autonomy within your role to think outside the box.
12. Demonstrated ability to communicate and collaborate effectively across global teams by adapting to diverse cultural norms, respecting time zone differences, and leveraging digital collaboration tools to maintain alignment and productivity  
13. Skilled in building trust and fostering inclusive communication styles that support clarity, empathy, and shared goals in international work environments 
14. Ability and willingness to work on-site at our office in Downtown LA at least once a week.  

Responsibilities 

1. Reports to the Planning Team.  
2. Maintain and migrate existing demand planning and inventory reports to the current BI tool. 
3. Build and update weekly and monthly dashboards covering product performance, box performance, and styling metrics 
4. Assist in developing demand planning assumptions and forecasting frameworks (style demand, size curves, inventory flow) 
5. Build basic planning tools in Google Sheets / BI tools to support: Size curve projections & Product lifecycle tracking 
6. Conduct assortment and scenario analysis to support predictive demand planning 
7. Analyze inventory health, sell-through trends, and replenishment opportunities 
8. Identify optimization opportunities within the current planning workflow and BI infrastructure 
9. Document demand planning processes and support improvements to internal planning tools. 
10. Support the team in analyzing marketing and subscription performance, including acquisition, traffic/funnel, CRM, engagement, etc.  
11. Support migration and setup of analytics tools and platforms to improve tracking of user behavior and marketing performance 
12. Assist with dashboard updates, reporting, and basic data checks to ensure data quality 
13. Help monitor A/B tests and experiments for CRM campaigns and website initiatives 
14. Conduct ad-hoc analyses to provide insights and recommendations for the team 
15. Document data workflows & the new data infrastructure. 

Compensation & Benefits 

The pay for this position is $17.87 an hour. This is a non-exempt, part-time position.  

DailyLook is proud to provide equal opportunity to all employees and qualified applicants without regard to race, color, religion, national origin or citizenship, age, sex, marital status, ancestry, legally protected physical or mental disability, veteran status, gender identity, sexual orientation or any other basis protected under applicable law. 

By applying for this position, the applicant authorizes DailyLook to check all references list on your application and/or resume. 

Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.