Data Scientist – Real-time Personalization & Decisioning

About the role

BlueConic is seeking an experienced Data Scientist to join its Product & Technology team, focusing on real‑time personalization, experimentation, and growth optimization. You will work at the intersection of core product development and customer‑facing data science, turning advanced models into production‑ready solutions.

Key responsibilities

• Design, build, and productionize predictive and decisioning models that power next‑best‑action and real‑time personalization.
• Apply and advance causal inference and reinforcement learning techniques, including contextual multi‑armed bandits, to optimize customer interactions and measure incremental impact.
• Partner with product and engineering teams to embed models into scalable, real‑time systems.
• Work directly with customers on advanced use cases, developing and validating models tailored to their business objectives.
• Translate business goals into modeling strategies and communicate results to technical and non‑technical stakeholders.
• Contribute to experimentation frameworks, uplift modeling, and closed‑loop optimization approaches.
• Help shape best practices for data science within the product organization, covering model evaluation, testing, and deployment standards.

Required profile

• 5+ years of professional experience as a Data Scientist, Applied Scientist, or similar role.
• Strong hands‑on experience with causal inference techniques such as uplift modeling, counterfactual analysis, A/B testing, and quasi‑experimental methods.
• Practical experience with reinforcement learning and contextual multi‑armed bandits in real‑world systems.
• Solid foundation in machine learning using libraries like scikit‑learn, XGBoost, or equivalents.
• Advanced Python skills with software‑engineering best practices (unit testing, modular code, packaging, version control).
• Experience taking models from experimentation to production environments.

Required skills

• Python
• scikit‑learn
• XGBoost
• ONNX (preferred)
• Snowflake
• Databricks
• Feature stores
• Reinforcement learning
• Contextual multi‑armed bandits
• Causal inference

What we offer

• Dynamic, collaborative Product & Technology team.
• Work on cutting‑edge applied ML problems at the intersection of AI, decisioning, and customer growth.
• Opportunity to help build a category‑defining Customer Growth Engine.
• Competitive salary and international environment with strong growth and ownership opportunities.
• Excellent hospitalization, personal accident, and term insurance coverage.
• Location in a top‑notch facility in Baner, Pune.