Lead / Senior Data Scientist (Retail & Merchandising)

ASM Tech Solutions LLC; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

ASM Tech Solutions LLC is seeking a Lead / Senior Data Scientist with deep retail domain experience to turn sales and merchandising data into actionable pricing, promotions, assortment and demand insights. This is a hands-on technical role that also leads a small data science team.

You will work with merchandising, pricing and commercial teams to build models in Python or R and present findings to executives.

Qualifications

• 7+ years in data science or advanced analytics, with retail/merchandising experience.
• Hands-on experience with retail sales, merchandising and assortment data.
• Proven work in pricing, promotions, demand forecasting, or customer behavior.
• Strong Python (or R) and SQL, with large-scale data handling.
• Solid grounding in ML, time-series, statistics and experimentation.
• Track record translating business problems into usable models.
• Experience leading projects and mentoring data scientists.

Responsibilities

• Define problems with merchandising and pricing teams and translate into data science solutions.
• Mine and analyse large datasets to drive sales, margin and behavior insights.
• Build and deploy ML, forecasting and predictive models for demand, pricing and promotions.
• Support range planning and category decisions with data.
• Analyse customer behavior via segmentation, basket analysis and lifetime value.
• Measure impact of pricing/promo changes using A/B tests and causal methods.
• Stay hands-on technically while mentoring juniors and presenting findings to stakeholders.

Skills

Python

SQL

Machine learning

Time-series forecasting

Mentoring

Retail domain experience

Education

Bachelor's or Master's in Statistics/Mathematics/CS/Economics/OR/related

Tools

Spark / Databricks

AWS/Azure/GCP

MLOps tools

Power BI/Tableau

Job description

Job Title: Lead / Senior Data Scientist (Retail & Merchandising)

Location: Remote

Duration: Contract

Role Overview

We are looking for a Lead / Senior Data Scientist with strong retail domain experience to turn sales, merchandising and customer data into better decisions on pricing, promotions, assortment and demand. This is a hands, technical role that also involves leading the data science work and guiding a small team.

Key Responsibilities

• Work with merchandising, category, pricing and commercial teams to define business problems and turn them into data science solutions.
• Mine and analyse large customer, product and transaction datasets to find what drives sales, margin and customer behaviour.
• Build and deploy machine learning, forecasting and predictive models for demand forecasting, pricing, promotion effectiveness and product performance.
• Use retail sales, merchandising and assortment / category management data to support range planning, inventory and category decisions.
• Analyse customer behaviour through segmentation, basket analysis, propensity modelling and lifetime value.
• Measure the impact of pricing and promotional changes using A/B tests, test-and-learn and causal methods.
• Stay hands-on in code and modelling while setting technical direction, reviewing work and mentoring junior data scientists and analysts.
• Present findings and recommendations clearly to senior business stakeholders and track business impact.

Required Qualifications

• 7+ years in data science or advanced analytics, with at least 4 years in retail, e-commerce, FMCG/Client or merchandising.
• Hands-on experience with retail sales, merchandising and assortment / category management data.
• Proven work in at least one of: pricing, promotions, demand forecasting, customer behaviour or product performance.
• Strong skills in Python (or R) and SQL, with experience handling large-scale transactional data.
• Solid grounding in machine learning, time-series forecasting, statistics and experimentation.
• Track record of translating business and merchandising problems into models that were actually used.
• Experience leading projects and guiding or mentoring other data scientists.
• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Operations Research or a related field.

Preferred Qualifications

• Experience with price elasticity, markdown optimisation, promotion uplift or assortment optimisation models.
• Familiarity with cloud data platforms (AWS, Azure or GCP), Spark / Databricks, and MLOps tools.
• Exposure to BI tools such as Power BI or Tableau for stakeholder reporting.
• Experience working in a client-facing or consulting environment.

What We're Looking For

Someone strong enough technically to build models themselves, and senior enough to lead the work and guide a team. Real retail / merchandising experience matters most: we will prioritise it over a strong generic data scientist without retail exposure.