Staff Data Scientist

About the role

The Data Scientist on the Data Team at Databricks will shape the direction of key data science areas, collaborate with various business functions, and build internal data products to support the company.

Responsibilities

• Shape the direction of data science areas such as segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
• Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts.
• 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 the company more data-driven.
• Build self-serving internal data products to make data simple within the company.
• Represent Databricks at academic and industrial conferences & events.

Requirements

• 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies.
• Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems.
• Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis.
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions.

Qualifications

• Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
• Proficient in data analysis and visualization using tools like R and Python.
• Experience with distributed data processing systems like Spark, and proficiency in SQL.
• MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering).

Skills

Not specified

Benefits

Not specified

Pay

The pay range for this role is $192,000—$260,000 USD.

Schedule

Not specified