Lead Data Scientist: ML, Analytics & Strategy

Walmart Connect; Hoboken (NJ); On-site; USD 132,000 - 264,000; Full time

Benefits offered by this job

Health benefits

401(k)

Stock purchase plan

Paid time off

Education benefits (Live Better U)

Employee discounts

Job summary

Walmart Connect in Hoboken, NJ is seeking a Principal Data Scientist to lead end-to-end development and deployment of advanced ML solutions that drive strategic decisions. You will mentor teams, collaborate across functions, and translate complex business challenges into scalable analytics.

You will own data architecture, model validation, and lifecycle management, leveraging Python, SQL, and modern ML tooling. Expect impact on performance, revenue, and customer experiences.

Qualifications

• Minimum qualifications include a degree in a quantitative field with 3–5+ years analytics experience or a relevant advanced degree with 1–3+ years of analytics experience.
• Experience in machine learning, statistics, and data analysis to drive business decisions.
• Ability to communicate insights and influence stakeholders with data-driven storytelling.

Responsibilities

• Lead design, development, and deployment of advanced data science solutions using Python and SQL.
• Identify data sources, validate models, and ensure insights drive strategic objectives.
• Mentor team members on analytics techniques and model development.
• Monitor model performance and manage lifecycle for sustainability.

Skills

Machine learning

Python

SQL

Data architecture

Causal inference

Team leadership

Model deployment

Visualization

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

TensorFlow

PyTorch

Scikit-learn

Spark

Job description

Walmart Connect in Hoboken, NJ is seeking a Principal Data Scientist to lead end-to-end development and deployment of advanced ML solutions that drive strategic decisions. You will mentor teams, collaborate across functions, and translate complex business challenges into scalable analytics.

You will own data architecture, model validation, and lifecycle management, leveraging Python, SQL, and modern ML tooling. Expect impact on performance, revenue, and customer experiences.