Sr. Data Scientist - Data Science Platform

Key Skills

Aartificial intelligence, Data science techniques, Databricks, Machine learning techniques, Python Programming, SQL Server

Job Description

The impact you will have:

• You will empower our world-class Data Team by building platform solutions for shared challenges.
• You will contribute directly to Databricks runtime and platform offerings, directly boosting revenue and seizing opportunities to differentiate Databricks platform from competitors.
• You will gather changing requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.
• You will guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
• You will represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven.
• You will represent Databricks at academic and industrial conferences and events.

What we look for:

• Exceptional engineering and data science skills, allowing you to not only deeply understand data, analytics and AI pain-points, but also build the solutions to those problems.
• The ability to work with analytics and engineering professionals, reducing silos to exceed what either side could achieve independently.
• 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
• Experience deploying Data Science / ML solutions in production for achieving results.
• Coding skills in Python and SQL
• Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment.
• Masters or higher in quantitative fields.

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Employee Assistance Program (EAP)
• Business travel accident insurance
• Mental wellness resources

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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. For more information regarding which range your location is in visit our page here.

Local Pay Range

$166,000—$225,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.