Senior Data Scientist

About the role

Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis.
Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions 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 data-scientists on the team by helping with project planning, technical decisions, and code and document review.
Build self-serving internal data products to make data simple within the company.

Responsibilities

• Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis.
• Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions 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 data-scientists on the team by helping with project planning, technical decisions, and code and document review.
• Build self-serving internal data products to make data simple within the company.

Requirements

• Experience in applying Data Science / ML in production to build data-driven products for solving business problems.
• Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts 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 Hadoop, and proficiency in SQL.
• BS/MS/PhD in Computer Science, or a related field.

Skills

• Experience in applying Data Science / ML in production to build data-driven products for solving business problems.
• Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis.
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions.
• 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 Hadoop, and proficiency in SQL.
• BS/MS/PhD in Computer Science, or a related field.

Benefits

Our commitment to diversity and inclusion extends to our benefits and perks. For more information, please visit our benefits page.

Pay

The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Schedule

Databricks offers a flexible schedule to accommodate the needs of our employees.