Lead Retail Data Scientist: Pricing, Promotions & Demand

Prohires; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Prohires is seeking a Lead / Senior Data Scientist with strong retail domain experience to transform sales, pricing, promotions, and assortment data into actionable insights for Walmart. This is a hands-on role that also involves leading a small team.

You will work across merchandising, pricing, and commercial teams, build and deploy models for demand forecasting and pricing, and mentor junior data scientists while presenting recommendations to senior stakeholders.

Qualifications

• 7+ years in data science or advanced analytics, with ≥4 years in retail/ecommerce/merchandising.
• Hands-on experience with retail sales, merchandising and assortment data.
• Proven work in pricing, promotions, demand forecasting, or product performance.
• Strong Python (or R) and SQL skills for large-scale data.
• Solid ML, time-series forecasting, statistics and experimentation.
• Experience translating business problems into deployable models.
• Leadership experience mentoring data science staff.

Responsibilities

• Define business problems with merchandising and pricing teams and translate to data science solutions.
• Mine and analyze large datasets to identify drivers of sales, margin and customer behavior.
• Build and deploy ML, forecasting and predictive models for demand, pricing and promotions.
• Use retail data to support range planning, inventory and category decisions.
• Analyze customer behavior via segmentation and propensity modeling.
• Measure pricing/promotions impact with A/B tests and causal methods.
• Remain hands-on technically while setting direction and mentoring juniors.
• Present findings and recommendations to senior stakeholders and track impact.

Skills

Retail analytics

Python

SQL

Machine learning

Time-series

Experimentation

Team leadership

Business translation

Education

Bachelor's or Master's in a related field

Tools

Spark / Databricks

AWS

Power BI

Job description

Prohires is seeking a Lead / Senior Data Scientist with strong retail domain experience to transform sales, pricing, promotions, and assortment data into actionable insights for Walmart. This is a hands-on role that also involves leading a small team.

You will work across merchandising, pricing, and commercial teams, build and deploy models for demand forecasting and pricing, and mentor junior data scientists while presenting recommendations to senior stakeholders.