Senior Data Scientist - R01573750
Brillio (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end development and deployment of scalable data science and recommendation solutions that turn business needs into customer insights.
- Build targeting, cross-sell/upsell, acquisition, retention and churn models; use segmentation, propensity analysis, opportunity sizing and benchmarking to guide revenue and sales prioritization.
- Connect analytics to KPIs, dashboards and business actions; validate solutions with stakeholders and provide technical direction through solution design, reviews and mentoring.
Minimum Requirements
- Work Experience Required: 5–8 years designing and delivering data-driven solutions in decision analytics and business intelligence.
- Required tools and languages: Python, Pandas, PySpark, SQL, Databricks, Power BI, Git and Azure DevOps.
- Required analytics capabilities: statistical modeling including propensity modeling, customer segmentation and quantile regression; feature engineering and predictive analytics.
- Experience owning analytics pipelines through validation and production deployment.
Ideal Candidate Profile
- Has experience applying customer and sales analytics to identify target customers, recommend products, estimate opportunity size and support retention or growth decisions.
- Can own the analytics lifecycle from requirements and data exploration through modeling, validation and production integration with BI platforms.
- Can translate analysis into business rules and executive-ready insights, while guiding solution design and supporting junior team members.