- Experience
- 2+ yrs
- Salary
- INR 6,000,000 / year
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- Work from home
- Resume
- Required to apply
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Job description
About the Job
This position is with a client of ours, a venture capital-backed startup specializing in AI-driven location intelligence. Their cutting-edge geospatial analytics solutions empower businesses to optimize expansion strategies, gain customer insights, and enhance operational efficiency through machine learning and predictive intelligence techniques.
Salary: Up to 60 LPA.
Responsibilities
- Work alongside cross-disciplinary teams to gather business needs and define goals for data science projects.
- Collect, clean, and prepare large and varied datasets ensuring data integrity and readiness for analysis.
- Design, develop, and deploy machine learning models and predictive algorithms that address business challenges.
- Enhance decision-making processes through predictive modeling techniques.
- Conduct comprehensive data and exploratory analyses to extract key patterns and insights.
- Perform statistical hypothesis testing to discover significant insights.
- Apply advanced statistical and mathematical modeling to understand variable relationships and outcome predictions.
- Build and maintain automated data pipelines for efficient data ingestion, transformation, and storage.
Requirements
- Strong proficiency in Python programming.
- Minimum of two years relevant professional experience as a data scientist or related role.
- Experience in constructing and deploying machine learning models.
- Skilled in SQL for data querying and manipulation.
- Solid understanding of statistical methods and techniques.
- Experience handling data for analytical and decision-making purposes.
Why Join Us?
- Take ownership of models that steer strategic expansion for major global corporations.
- Create predictive intelligence applications that inform multimillion-dollar decisions.
- Grow your career by working with top-tier engineers in a fast-paced, high-growth startup environment.
- Enjoy full creative freedom in developing the future of geospatial analytics.