Senior Data Scientist: AI-Driven Marketing Analytics

Walmart Inc.; Hoboken (NJ); Sur place; USD 116 000 - 216 000; Plein temps

Avantages offerts par ce poste

Health benefits

401(k) and stock purchase

Paid time off

Education assistance (100% company)

Discounts & more

Résumé du poste

Walmart Inc. in Hoboken, NJ is seeking a Senior Data Scientist to develop and implement advanced data science and AI solutions that support strategic business decisions.

You will build predictive models, including Marketing Mix Models (MMM), and work with large-scale datasets to quantify marketing impact across channels. The role requires expertise in Python, SQL, time-series analysis, and experimentation, with opportunities to influence senior leadership decisions and drive optimization across

Qualifications

• Master's or Bachelor's degree in Statistics, Economics, Analytics, Mathematics, CS, IT, Eng or related field with 1–3 years analytics experience.
• Experience building predictive models and MMM is a plus.
• Strong SQL and Python skills for data extraction and modeling.
• Ability to communicate insights to senior leadership.

Responsabilités

• Develop advanced data science and AI solutions to support business decisions.
• Build and validate predictive models on large-scale datasets.
• Quantify marketing effectiveness using MMM and other analyses.
• Translate insights into actionable business recommendations.

Connaissances

Statistical modeling

Python (Pandas/NumPy/Sklearn)

SQL querying

EDA & feature engineering

Machine learning model validation

Time-series forecasting

Causal inference (DiD)

Marketing analytics

Data integration

Data visualization

Experiment design

Cloud platforms

Formation

Master's or Bachelor's in a related field

Outils

SQL

Python

Pandas

NumPy

Description du poste

Walmart Inc. in Hoboken, NJ is seeking a Senior Data Scientist to develop and implement advanced data science and AI solutions that support strategic business decisions.

You will build predictive models, including Marketing Mix Models (MMM), and work with large-scale datasets to quantify marketing impact across channels. The role requires expertise in Python, SQL, time-series analysis, and experimentation, with opportunities to influence senior leadership decisions and drive optimization across