Senior Data Scientist

Full time

Employment Information

Job levelSenior level

IndustrySoftware Development

Experience10+ years

LocationBengaluru, India

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As the first Senior Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production “customer” that dogfoods Databricks and drives the future direction of the products.

The impact you will have :

Shape the direction of key data science areas critical to Engineering driven efficient growth - customer retention, scalable product offerings, and an efficient and effective in-product / support experience.
Work closely with Engineering, Technical Operations and Product stakeholders to understand customer pain points, and effectiveness of the in-product and support experience. Your insights will be used directly to make data-informed decisions on investments and priorities for Engineering.
Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven
Represent Databricks at academic and industrial conferences & events.

What we look for:

10+ years of Data Science, Machine Learning, advanced analytics experience in high velocity, high-growth companies
Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems
Familiarity with applying data science to customer experience and customer facing operations - understanding customer and user behavior to measure experience, and outcomes (retention/churn, task completion, effort, etc.)
Experience collaborating with and understanding the needs of stakeholders from a variety of business functions: Product, Engineering and Technical Operations
Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment
Experience with distributed data processing systems like Spark, and proficiency in SQL