(USA) Senior, Data Scientist

Walmart Connect; Hoboken (NJ); On-site; USD 108,000 - 216,000; Full time

Benefits offered by this job

Health benefits

401(k)

Stock purchase program

Paid time off

Education benefit

Job summary

Walmart Connect is seeking a Senior Data Scientist in Hoboken, NJ to develop and deploy data-driven models that inform media investments and optimize partner outcomes.

You will source data, validate quality, build and validate advanced ML models, and translate business needs into scalable data solutions, all while mentoring teammates and ensuring model integrity across production environments.

Qualifications

• Bachelor’s degree or Master’s in a quantitative field with analytics experience.
• Experience with ML/analytics in production environments preferred.
• Strong data sourcing and data quality assessment capabilities.

Responsibilities

• Identify and source relevant data from multiple domains and databases.
• Conduct data quality assessments to ensure modeling readiness.
• Develop, test, and validate advanced statistical and ML models.
• Deploy scalable models into production with performance monitoring.
• Create clear visualizations to communicate insights to stakeholders.
• Translate business requirements into technical solutions.
• Mentor junior team members on modeling techniques.

Skills

Python

Data modeling

Statistics

Hypothesis testing

Data visualization

Production deployment

Problem solving

Communication

Exploratory data analysis

ML/AI

Education

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT or related

Master’s degree in Statistics, Economics, Analytics, or related

5+ years analytics experience

Tools

Python packages (scikit-learn, pandas)

Spark

SQL

Job description

Position Summary

What you'll do...Role summary: As a Senior Data Scientist, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role involves extracting and validating data from various sources, designing robust predictive models, and delivering insightful visualizations to influence decision-making. You will collaborate with cross-functional teams to translate complex business challenges into actionable data strategies, ensuring scalable and sustainable model implementation. Additionally, you will mentor colleagues and uphold high standards of integrity, driving continuous improvement and innovation within the data science function.

About the team: The Media Insights team delivers actionable insights to optimize investments with Walmart Connect. By analyzing media performance, the team supports agencies, technology partners, and advertisers in enhancing strategies and driving growth. Utilizing advanced data analysis, statistical methods, and predictive modeling, the team transforms complex data into clear, market-facing insights. Collaborating across functions, they ensure data quality and effective model deployment to support business decisions. This team plays a vital role in enabling data-driven strategies that maximize value and impact for Walmart’s advertising partners.

What you’ll do

• Identify and source relevant data from multiple business domains and databases to support analytical initiatives.
• Conduct initial data quality assessments and ensure data suitability for modeling and analysis.
• Develop, test, and validate advanced statistical and machine learning models to address complex business challenges.
• Deploy scalable analytical models into production environments, ensuring performance and sustainability.
• Create clear and impactful data visualizations to communicate insights to stakeholders and influence decision-making.
• Translate business requirements into technical solutions, aligning analytics efforts with organizational goals.
• Mentor junior team members on modeling techniques and best practices.

What you’ll bring

• Extensive experience in data science, machine learning, and predictive modeling with proficiency in Python programming.
• Strong knowledge of statistical methods, hypothesis testing, and advanced analytical modeling techniques.
• Expertise in data visualization tools and best practices to effectively communicate complex data insights.
• Proven ability to identify and source relevant business data, ensuring data quality and alignment with business requirements.
• Experience deploying and scaling analytical models in production environments with attention to performance and sustainability.
• Ability to translate business problems into data-driven solutions and provide actionable recommendations.
• Skilled in exploratory data analysis and applying AI and large language modeling techniques.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For Information About Benefits And Eligibility, See One.Walmart.

Hoboken, New Jersey US-10279: The annual salary range for this position is $108,000.00 - $216,000.00

San Bruno, California US-08848: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:

• Stock

Minimum Qualifications

• Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
• Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
• Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location

221 River St, Hoboken, NJ 07030, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.