Data Scientist

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Assistant Manager – Data Science (Marketing Analytics / MMM) Role Overview We are looking for an Assistant Manager – Data Science with strong analytical and statistical skills to work on marketing analytics and marketing mix modeling (MMM). The role involves building statistical and machine learning models to analyze marketing performance, generate insights, and support data-driven decision-making. Fresh graduates with strong statistical and Python backgrounds are also encouraged to apply.

Key Responsibilities

● Assist in developing and maintaining Marketing Mix Models (MMM) to measure marketing effectiveness

● Apply statistical modeling techniques such as regression and time-series analysis

● Work on panel data modeling techniques for cross-sectional and time-series data analysis

● Perform data cleaning, feature engineering, and exploratory data analysis

● Work with Python-based analytics pipelines for model development

● Analyze marketing channel performance and generate insights

● Support regression model validation, diagnostics, and performance monitoring

● Collaborate with analytics and business teams to interpret model results. Required Skills

● Strong proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels)

● Solid understanding of statistics and regression modeling

● Good understanding of data analysis and preprocessing

● Strong analytical and problem-solving skills

● Ability to work with structured datasets

● Hands-on experience in handling panel data modeling techniques

Preferred Skills

● Exposure to Marketing Mix Modeling (MMM) or marketing analytics

● Knowledge of time-series modeling

● Experience with visualization tools (Matplotlib, Seaborn, Power BI, Tableau)

● Understanding of machine learning fundamentals Qualifications

● Bachelors or Masters degree in Statistics, Mathematics, Data Science, Economics, Computer Science, or related field

● 0–4 years of experience in data science, analytics, or marketing analytics

● Freshers with strong academic background in statistics and Python are encouraged to apply

Tech Stack

● Python

● SQL

● Statistical Modeling

● Marketing Mix Modeling

● Data Visualization tools