Data Scientist
On-siteBoth, State of Rājasthān, Republic of India
Job Summary
Design predictive and prescriptive models to address business questions like churn and subscription health using curated datasets in Snowflake. Deliver model outputs as attributes for integration into downstream BI products and activation platforms. Contribute to the feature store by defining features, documenting refresh cadence, and ensuring reliable pipelines. Build and maintain training datasets with clear documentation of assumptions and evaluation windows. Collaborate with stakeholders to translate ambiguous problems into scoped modeling tasks and communicate results to non-technical audiences. Track experiments and monitor deployed models to ensure reliability and reproducibility.
Required Qualifications
- 4+ years of hands-on experience in data science or a role with significant applied modelling
- Demonstrated experience building and deploying predictive models in a business context
- Strong Python proficiency: Proven experience using libraries (scikit-learn, pandas) to build and maintain predictive models
- Experience with classification and regression techniques and the ability to validate model performance using appropriate metrics (precision, recall, AUC, etc.)
- SQL proficiency: Able to write clean, maintainable code for supporting models in Snowflake with support from data engineers
- Experience with Git and standard software development practices: version control, code reviews, branching, and CI/CD basics
- Ability to take an ambiguous business problem and work backwards to produce models that support effective solutions by creating a list of requirements and working through sprints to deliver
- Strong documentation practices: able to produce and maintain model definitions, lineage documentation, and data dictionaries that enable other developers and business stakeholders
- Collaborative working style: comfortable operating at the boundary between data engineering, data science, and business teams
Desired Qualifications
- Experience in retail, CPG, or consumer hardware
- Hands-on experience with a feature store platform
- Experience with MLflow or a comparable experiment tracking tool
- Familiarity with Snowpark or Snowflake ML Functions
- Experience delivery model outputs that can be used in BI tools and other downstream platforms
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