Job Title: Senior Data Scientist

Experience: 3–6 Years

Location: Gurgaon / Delhi

Department: Data Science

Employment Type: Full-time

Summary of Job Purpose:

We are looking for a highly motivated and technically strong Senior Data Scientist with 4+ years of experience in Data Science, Machine Learning, AI, and Advanced Analytics. The ideal candidate should have hands-on experience in developing and deploying analytical models and AI-driven solutions, particularly in areas such as Demand Forecasting, Marketing Mix Modelling (MMM), Pricing & Promotion Analytics, Customer Analytics, and Business Optimization.

The candidate should have experience working with business problems in Retail, Consumer Packaged Goods (CPG), Pharmaceuticals, Healthcare, or related industries and should be comfortable translating complex business requirements into scalable data science solutions.

Duties and Responsibilities:

- Design, develop, and implement advanced statistical and machine learning models to solve complex business problems.
- Develop and enhance Demand Forecasting, Sales Forecasting, and Predictive Analytics solutions.
- Build and optimize Marketing Mix Models (MMM) to measure marketing effectiveness, quantify channel contributions, and recommend optimal marketing budget allocation.
- Develop Pricing and Promotion Analytics models, including price elasticity, promotional effectiveness, price optimization, and trade promotion analytics.
- Apply machine learning and statistical techniques for customer segmentation, propensity modelling, churn prediction, recommendation systems, and customer lifetime value estimation.
- Work on AI/ML and Generative AI use cases to develop intelligent, data-driven business solutions.
- Perform exploratory data analysis, feature engineering, statistical testing, and model evaluation.




- Work with large and complex datasets from multiple sources to identify patterns, trends, and actionable business insights.
- Collaborate with business stakeholders, data engineers, and cross-functional teams to understand business requirements and translate them into analytical solutions.
- Communicate model outcomes, business implications, and recommendations effectively through presentations and data visualizations.
- Contribute to end-to-end project delivery, including problem formulation, model development, validation, deployment, and monitoring.

Required Technical Skills:

- Strong programming experience in Python and SQL.
- Hands-on experience with Machine Learning algorithms, statistical modelling, and predictive analytics.
- Good understanding of statistical techniques such as regression, hypothesis testing, time-series analysis, and causal inference.
- Experience with forecasting techniques such as ARIMA, SARIMA, Prophet, Exponential Smoothing, XGBoost, or other advanced forecasting approaches.
- Knowledge of Marketing Mix Modelling techniques, including regression-based modelling, adstock, saturation, ROI measurement, and budget optimization.
- Experience in Pricing Analytics, Price Elasticity, Promotion Effectiveness, and Revenue Optimization.
- Experience with libraries such as Pandas, NumPy, Scikit-learn, Statsmodels, XGBoost, LightGBM, and other relevant ML frameworks
- Working knowledge of data visualization tools such as Power BI, Tableau,



or Python-based visualization libraries.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and ML deployment practices will be an advantage.

Domain Experience:

Experience in one or more of the following industries is preferred.

- Retail: Demand forecasting, assortment optimization, customer analytics, pricing, and promotion effectiveness.
- CPG / FMCG: Marketing Mix Modelling, trade promotion optimization, sales forecasting, pricing, and consumer analytics
- Pharmaceuticals: Commercial analytics, HCP segmentation, patient analytics, sales forecasting, marketing effectiveness, and omnichannel analytics.
- Healthcare: Predictive modelling, patient analytics, healthcare utilization forecasting, and operational optimization.

Preferred Qualifications:

- Bachelor's or Master’s degree in computer science, Statistics, Mathematics, Economics, Data Science, or a related quantitative discipline.
- 3+ years of relevant hands-on experience in Data Science, Machine Learning, Advanced Analytics, or AI.
- Experience working in consulting, analytics services, or client-facing project environments is an added advantage.
- Strong analytical thinking, problem-solving, and communication skills.
- Ability to independently manage analytical workstreams and deliver high-quality solutions.

Soft Skills:

- A strong problem solver with a good blend of technical expertise and business understanding.
- Someone who can connect data science models with real-world business outcomes.
- Ability to work across multiple domains and solve diverse business challenges.
- A proactive individual who enjoys working in a team-oriented, fast-paced consulting environment.
- Robust ownership, attention to detail, and a continuous learning mindset.

📌 Senior Data Scientist (Gurugram)
🏢 InvoLead
📍 Gurugram