Databricks

Senior Data Scientist

Databricks$123K — $218K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Data Science/ML applied to production environments
  • Strong understanding of product analytics, including user behavior and funnel analysis
  • Ability to collaborate effectively with cross-functional business teams
  • Proficient in coding with languages such as Scala or Python, with a grasp of software engineering practices
  • Experienced in data analysis and visualization tools like R and Python
  • Familiarity with distributed data processing systems such as Spark or Hadoop and SQL
  • Degree in Computer Science or a related field (BS/MS/PhD)

Responsibilities

  • Shape the direction of data science initiatives in areas like usage forecasting and user behavior
  • Collaborate with Product Management and other stakeholders to identify usage patterns
  • Manage project requirements, define OKRs, and update stakeholders on progress
  • Mentor junior data scientists through project planning and code reviews
  • Create self-serving internal data products for improved accessibility across teams

Benefits

  • Comprehensive benefits and perks designed to meet diverse employee needs
  • Eligibility for annual performance bonuses
  • Equity opportunities
  • Access to professional development resources
  • Flexible working arrangements
Full Job Description
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 in-house, production "customer" that dogfoods Databricks and drives the future direction of the products.

If you are interested in machine learning infrastructure, please apply to the Software Engineer Backend job opening here.

The impact you will have:
  • 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.

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 at the moment, but also work with the Sales, Marketing and Finance organizations.
  • 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 Transparency

Databricks is committed to fair and equitable compensation practices. 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. For more information regarding which range your location is in visit our page here.

Local Pay Range

$123,200-$218,000 USD

BenefitsAt 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 click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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