# Senior Data Scientist

**Company**: Databricks
**Location**: Mountain View, California; San Francisco, California
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $123,200-$218,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/5634684002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1c794bf4-7d7

## Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their own missions.

As a Senior Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a in-house, production 'customer' that dogfoods Databricks and drives the future direction of the products.

The impact you will have:

- Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behaviour 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.

What we look for:

- 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

## Skills

### Required
- Data Science
- Machine Learning
- Product Analytics
- Spark
- Hadoop
- SQL
- Scala
- Python

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/5634684002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)