Senior Manager / Lead – Analytics & Data Science
Location: Navi Mumbai - Turbhe
Experience: 5+ Years
Team Size: 4–6 Members
About the Role
We are looking for an experienced Analytics & Data Science leader to drive data-led decision-making across Growth, Product, and Engineering. The role combines business partnering, team leadership, advanced analytics, and hands-on technical expertise to deliver measurable business impact.
Key Responsibilities
- Partner with senior business and product leaders to identify opportunities where data can drive growth and business outcomes.
- Translate complex business problems into analytics roadmaps with clear objectives, metrics, and ROI.
- Lead and mentor a team of 4–6 analysts and data scientists, managing performance, development, and project priorities.
- Drive advanced analytics and ML solutions across areas such as regression, classification, forecasting, recommendation systems, NLP, and causal inference.
- Oversee end-to-end analytics solutions, from data preparation and modelling to validation and production deployment.
- Work hands-on with Python and SQL for complex analysis, data wrangling, and ML modelling.
- Build scalable data pipelines, models, and executive dashboards using modern analytics and BI tools.
- Ensure strong standards for data quality, model validation, monitoring, documentation, and analytics best practices.
- Promote experimentation, A/B testing, and data-driven decision-making across business teams.
Required Qualifications
- 5+ years of experience in Analytics, Data Science, or a related quantitative field, including 2+ years in team leadership/people management.
- Strong expertise in Python, SQL, statistics, and machine learning.
- Hands-on experience with ML libraries such as scikit-learn, XGBoost, PyTorch/TensorFlow.
- Strong understanding of hypothesis testing, regression, ML algorithms, and experimentation.
- Proven experience delivering production analytics/ML solutions with measurable business impact.
- Experience managing and developing teams of 5+ members.
- Excellent stakeholder management and communication skills, with the ability to present complex insights to senior leadership.
Good to Have
- Experience with BigQuery, Snowflake/Redshift, Airflow, dbt, Tableau, Power BI, or Metabase.
- Knowledge of causal inference and experimentation frameworks.
- Experience in B2C, e-commerce, or consumer technology.
- Exposure to Generative AI, LLMs, MLOps, or AutoML.
- Master's degree in Data Science, Business Analytics, Statistics, or a related field.
Why Join Us
- Drive the analytics strategy and directly influence business outcomes.
- Lead and grow a high-performing analytics and data science team.
- Work at the intersection of advanced technology, analytics, and strategic business leadership.
- Competitive compensation and comprehensive benefits.
If you are passionate about using data and AI to solve high-impact business problems and enjoy building high-performing teams, we would love to hear from you.
