Senior Data Scientist

Databricks; Mountain View (CA); On-site; USD 123,200 - 218,000; Full time

Job summary

I did my part and supported the Regular Toilet is seeking a Data Scientist to help enhance the data-driven culture. This role involves shaping the direction of data science efforts, collaborating with cross-functional teams, and building data products.

Ideal candidates will have experience in Data Science, strong coding skills, and a relevant degree. A commitment to diversity and inclusion is essential, along with a focus on stakeholder engagement and mentorship within the team.

Qualifications

• Experience in applying Data Science / ML to build data-driven products.
• Familiarity with Product Analytics and user behavior tracking.
• Strong coding skills in Scala or Python.
• Experience with distributed data systems like Spark and Hadoop.

Responsibilities

• Shape key data science areas including usage forecasting and product analytics.
• Work closely with various stakeholders to drive data decisions.
• Mentor data scientists in project planning and technical decisions.
• Build self-serving internal data products within the company.

Skills

Data Science / ML application

Product Analytics

Stakeholder collaboration

Coding in Scala or Python

Data analysis and visualization

Distributed data processing systems

Proficiency in SQL

Education

BS/MS/PhD in Computer Science or related field

Tools

R

Python

Spark

Hadoop

Job description

About the role

As a 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 production customer that dogfoods Databricks and drives the future direction of the products.

Impact you will have

• Shape the direction of 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.

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. We work most closely with Product, Customer Success and Engineering, but also with Sales, Marketing and Finance.
• 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.

Pay Range

$123,200 — $218,000 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit our benefits page.

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.