Senior, Data Scientist

Hoboken, New Jersey, United States

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, E-commerceIndustries

Requirements

Candidates should have a Master's or advanced degree in Statistics, Economics, or a related quantitative analytical field, with a PhD strongly preferred. They need 2-5 years of relevant experience in retail, e-commerce, or a similar data-driven industry. Proven hands-on experience with Media Mix Modeling (MMM), Bayesian MCMC frameworks, Multi-Touch Attribution (MTA), causal inference, and/or stochastic programming is required. Advanced proficiency in Python and SQL for data analysis and modeling, strong organizational skills for managing multiple priorities in a fast-paced environment, and excellent communication and mentorship skills are also necessary.

Responsibilities

The Senior Data Scientist will lead the design and implementation of analytical solutions to improve marketing investment effectiveness, driving the adoption of MMM, MTA, and causal inference methodologies. They will apply expertise in Bayesian MCMC frameworks and stochastic programming to develop scalable models, define data requirements, and write/optimize complex Python and SQL queries. This role involves bridging technical and business teams, translating complex findings into actionable recommendations, and effectively communicating with both technical and non-technical audiences. The position requires independently leading end-to-end projects in ambiguous environments, setting and managing timelines, coordinating across teams, synthesizing insights from diverse data sources, and anticipating stakeholder needs to drive impactful recommendations.

Skills

Marketing Mix Modeling (MMM)

Multi-Touch Attribution (MTA)

Causal Inference

Bayesian MCMC

Stochastic Programming

Python

SQL

Data Modeling

Statistical Analysis

Retail Analytics

E-commerce Analytics

Walmart

Global retail chain offering affordable products

About Walmart

Walmart operates a chain of hypermarkets, discount department stores, and grocery stores, providing a wide variety of products at low prices to everyday consumers, families, and communities. The company combines physical retail locations with an e-commerce platform, allowing customers to shop for groceries, apparel, electronics, and household items both in-store and online. Walmart's efficient supply chain management and large-scale purchasing enable it to maintain affordability, setting it apart from competitors. The company also offers financial services and health and wellness services, including pharmacies and vision centers. Walmart's goal is to save people money and support communities, as demonstrated by its efforts during the COVID-19 pandemic and its commitment to social responsibility, including programs for veterans and military families.

Bentonville, ArkansasHeadquarters

1962Year Founded

$5,515MTotal Funding

IPOCompany Stage

Financial Services, Consumer GoodsIndustries

10,001+Employees

Senior, Data Scientist

Requirements

Responsibilities

Skills

Walmart

About Walmart

Benefits

PTO: Paid vacation, sick time, personal time and holiday time

10% discount on regularly priced general merchandise and fresh fruits and vegetables

6% 401(k) match to all employees, including hourly workers, after one year

Roth IRA available

Associate Stock Purchase Plan

maximum and eligible preventive care covered at 100%

Health reimbursement plans

Risks

Rising U.S. labor costs could pressure profit margins.

Amazon's grocery delivery expansion threatens Walmart's market share.

Fintech investments expose Walmart to financial regulatory risks.

Differentiation

Walmart's omnichannel strategy integrates physical and online retail seamlessly.

The company offers a wide range of products at consistently low prices.

Walmart's commitment to community support enhances its brand reputation.

Upsides

Walmart's investment in fintech expands its financial services offerings.

Robotics integration in distribution centers boosts operational efficiency.

Culturally themed product lines attract diverse customer segments.

Senior / Staff Data Scientist, Marketing Analytics

Sr. Data Scientist

Senior Market Research Professional

Data Scientist, Growth

AI-First Data Analyst (Technical & Causal)