Role description

Lead Data Scientist – Revenue Growth Management

We are looking for a Lead Data Scientist with strong expertise in solving complex business problems using data, with a specific focus on Revenue Growth Management (RGM). The ideal candidate will have deep hands-on experience in classical machine learning, pricing analytics, and demand forecasting, along with the ability to drive measurable revenue and margin impact. You will work closely with cross-functional teams including business, consulting, and engineering stakeholders to deliver data-driven strategies.

Key Responsibilities:

● Design, build, and deploy predictive and optimization models for RGM use cases such as price optimization, promotion effectiveness, and demand forecasting

● Translate business problems into analytical frameworks and provide actionable recommendations to improve revenue and profitability

● Develop model workflows using Python and SQL

● Apply statistical modeling and machine learning techniques for price elasticity estimation, uplift modeling, and forecasting

● Collaborate with cross-functional teams to integrate models into business processes and decision-making

● Present insights to stakeholders using data storytelling and visualization techniques

● Lead end-to-end project delivery and mentor junior data scientists

Required Skills and Experience:





● 8–12 years of experience in Data Science or Advanced Analytics with demonstrated business impact

● Solid programming skills in Python (pandas, scikit-learn, statsmodels, etc)

● Proficiency in SQL for data extraction and transformation

● Deep understanding of classical machine learning techniques

(regression, classification, clustering, time series forecasting, optimization)

● Strong hands-on experience in Revenue Growth Management (RGM), including:

○ Pricing Analytics / Price Elasticity Modeling

○ Promotion Analytics / Trade Promotion Effectiveness

○ Demand Forecasting / Volume Forecasting

● Strong foundation in statistics, hypothesis testing, and quantitative problem-solving

Preferred Qualifications:

● BE / BTech / Master’s or PhD in Computer Science, Statistics, Economics, Operations Research, or related field

● Experience in FMCG / Retail / CPG domain is highly preferred

● Exposure to assortment optimization and portfolio analytics

● Experience with optimization techniques/tools (e.g., linear programming, OR-Tools, Gurobi)

● Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib)

● Experience in deploying and monitoring models in production environments

📌 Data Science Manager-RGM (Hyderabad)
🏢 Tredence
📍 Hyderabad