Job Title: Data Scientist

Overview

We are seeking a highly skilledData Scientistto join our marketing analytics organization. In this role, you will leverage statistical modeling, machine learning, and data engineering techniques to deliver insights, build predictive models, and support datadriven decisionmaking across the business conducting ad-hoc analysis. The ideal candidate is analytically strong, curious, and comfortable working with large datasets and up-to-date data technologies.

Key Responsibilities

Analytics & Modeling (40%)

• Build, validate, and deploymachine learning models(classification, regression, forecasting, clustering, NLP, etc.)

• Conductstatistical analysesand A/B tests to evaluate business performance and product changes.

• Translate ambiguous business questions into structured analytical problems.

Data Engineering & Preparation (10%)

• Acquire, clean, and manipulate large datasets from multiple sources.

• Build reproducible data pipelines using Python, SQL, and Snowflake.





• Work closely with data engineers to optimize data structures and improve data availability.

Insights & Business Impact (40%)

• Deliver clear, actionable insights to stakeholders through ah-hoc analysis, dashboards, visualizations, and written summaries.

• Partner with product, marketing, finance, and operations teams to identify opportunities for optimization.

• Support KPI development and help teams understand business trends.

Model Deployment & Monitoring (10%)

• Collaborate with engineering teams to deploy models into production environments.

• Monitor model performance and retrain/adjust, as necessary.

• Maintain documentation, reproducibility, and version control of all modeling work.

Required Skills & Qualifications

• Bachelors or Master’s degree inData Science, Statistics, Computer Science, Mathematics, or a related field.

• 3–7+ years of experience applying data science techniques in a business environment.

• Proficiency inPython(pandas, scikitle

📌 Data Scientist (Pune)
🏢 systems plus
📍 Pune