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Location : Gurugram Department : Data Science & Analytics Reports to : Senior Manager - Data Science Experience Required : 4-7 years in applied data science, machine learning, or statistical modeling roles, preferably in fintech, consumer tech, or financial services. Role Overview : We are looking for a Manager - Data Science to build scalable models and frameworks that power growth, engagement, and decision-making across the Stashfin ecosystem. You'll work closely with the Senior Manager - Data Science and collaborate with product, marketing, credit, and engineering teams to design experiments, predictive models, and data solutions that directly impact business outcomes. Key Responsibilities: Model Development & Deployment: - Design, build, and deploy machine learning models for churn prediction, credit usage, user segmentation, and lifetime value estimation. - Own end-to-end lifecycle of data science projects - from problem definition and data exploration to modeling, validation, and production deployment. - Work on real-time scoring models, recommendation engines, and personalization algorithms to enhance app experience and business efficiency. Experimentation & Uplift Measurement: - Partner with growth, CRM, and product teams to define and run A/B/n tests and experiments. - Measure uplift and incremental value of marketing and product interventions using robust causal inference techniques. Advanced Analytics & Insights: - Analyze structured and unstructured data to extract patterns and behaviors. - Build actionable dashboards and model outputs that support marketing, risk, and product decisions. - Translate business problems into statistical frameworks and deliver decision-ready insights. Tools, Frameworks & Pipelines: - Write clean, production-ready code in Python or R, using libraries like scikit-learn, XGBoost, or TensorFlow. - Collaborate with data engineering teams to create ETL pipelines, model APIs, and real-time data streams. - Use platforms like BigQuery, Airflow, Databricks, and model versioning tools for seamless deployment. Cross-Functional Collaboration: - Work closely with business teams to scope problems, define KPIs, and translate models into action. - Collaborate with BI teams to bring model outcomes into dashboards and business monitoring tools. Qualifications & Skills: - 4-7 years of experience in data science, ML engineering, or applied statistical modeling. - Strong command over Python, SQL, and common ML libraries (e.g., pandas, scikit-learn, XGBoost, LightGBM). - Experience with model evaluation, hyperparameter tuning, and performance optimization. - Good understanding of probability, statistics, and experimental design. - Familiarity with cloud environments like GCP, AWS, or Azure is a plus. - Experience in fintech, lending, credit scoring, or user behavior modeling is highly desirable. What You'll Get: - Opportunity to solve real-world problems at scale in India's leading credit fintech platform. - A collaborative team culture with cutting-edge tools and high business impact. - Exposure to both marketing and product modeling use cases.

Gurgaon/Gurugram

StashFin -  Manager - Data Science & Analytics 

Job Description for StashFin -  Manager - Data Science & Analytics  in EQX Analytics Pvt. Ltd. in  Gurgaon/Gurugram for (4-7) years of experience. Apply Now!

StashFin -  Manager - Data Science & Analytics  | iimjobs.com