Senior Data Scientist

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

Benefits offered by this job

Stock purchase

Company discounts

Live Better U

Job summary

Walmart seeks a data scientist in Hoboken, NJ to turn complex data into practical improvements using analytics and ML. This onsite role supports scalable data pipelines, model development, and deployment, plus cross-functional collaboration to improve e-commerce search relevance.

You’ll mentor junior data scientists and contribute to governance, testing, and production-ready solutions with emphasis on data quality and business impact.

Qualifications

• Extensive experience in data science, ML, and statistics for developing and deploying analytical models.
• Proficiency in Python and data visualization tools including Matplotlib, Plotly, and Tableau.
• Strong knowledge of data pipelines, data quality standards, and data governance principles.
• Expertise in model assessment, validation, and tuning using advanced statistical techniques.
• Ability to translate complex business problems into data-driven solutions with business context.
• Experience with NLP and large language modeling applications.
• Proven skills in coding, testing, and deploying scalable data science solutions.

Responsibilities

• Identify and source relevant data across multiple business domains while ensuring data quality and analytical suitability.
• Develop, test, and deploy advanced analytical models using statistical and machine learning methods to address complex business challenges.
• Partner with stakeholders to convert business requirements into data-driven solutions aligned with strategic goals.
• Design and implement scalable data pipelines and workflows that support model deployment and ongoing analytics.
• Build clear, insightful data visualizations and presentations to communicate findings and influence decision-making.
• Mentor junior team members and help promote best practices in data science and analytics methodologies.

Skills

Data science

Python

Visualization (Matplotlib, Plotly, SQL

Education

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field

Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field

Tools

Python

Matplotlib

Plotly

Tableau

Job description

At Walmart, you’ll turn complex data into practical, customer-focused improvements by applying advanced analytics and machine learning. This onsite role in Hoboken, NJ supports scalable data pipelines, model development and deployment, and cross-functional collaboration to enhance e-commerce search relevance. You’ll also contribute to an environment that values integrity, excellence, and customer-centric outcomes, including mentorship of junior data scientists.

What you’ll do

• Identify and source relevant data across multiple business domains while ensuring data quality and analytical suitability.
• Develop, test, and deploy advanced analytical models using statistical and machine learning methods to address complex business challenges.
• Partner with stakeholders to convert business requirements into data-driven solutions aligned with strategic goals.
• Design and implement scalable data pipelines and workflows that support model deployment and ongoing analytics.
• Build clear, insightful data visualizations and presentations to communicate findings and influence decision-making.
• Mentor junior team members and help promote best practices in data science and analytics methodologies.

What you’ll bring

• Extensive experience in data science, machine learning, and statistical methods for developing and deploying analytical models.
• Proficiency in Python and data visualization tools including Matplotlib, Plotly, and Tableau.
• Strong knowledge of data pipelines, data quality standards, and data governance principles.
• Expertise in model assessment, validation, and tuning using advanced statistical techniques.
• Ability to translate complex business problems into data-driven solutions with a strong grasp of business context.
• Experience with natural language processing and large language modeling applications.
• Proven skills in coding, testing, and deploying scalable data science solutions in production environments.

Technologies you’ll work with

• Python, Matplotlib, Plotly, Tableau
• Natural language processing
• Large language modeling

Minimum qualifications

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

Preferred qualifications

• Background in data science, machine learning, optimization models; and/or a Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Experience using open source frameworks (for example, scikit-learn, tensorflow, torch).
• Knowledge of inclusive digital experiences, including implementing WCAG 2.2 AA standards, assistive technologies, and integrating digital accessibility.

Compensation and benefits

The annual salary range for this position is USD 108,000 - 216,000, with additional compensation including stock. Benefits include:

• Medical, vision and dental coverage
• 401(k)
• Stock purchase
• Company-paid life insurance
• PTO (including sick leave)
• Parental leave
• Family care leave
• Bereavement
• Jury duty
• Voting
• Short-term and long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• Live Better U (Walmart-paid education benefit program)

Primary location: 221 River St, Hoboken, NJ 07030, United States of America