Senior Data Scientist

Menlo Ventures; San Francisco (CA); On-site; USD 123,200 - 218,000; Full time

Job summary

Menlo Ventures is looking for a Data Scientist to join their Data Team in San Francisco, California. In this role, you will help build a data-driven culture and tackle various product and business challenges, mentoring fellow data scientists along the way.

The ideal candidate will have experience in applying Data Science in production, strong coding skills, and a background in Product Analytics. The position offers a competitive pay ranging from $123,200 to $218,000, alongside performance bonuses and equity.

Qualifications

• Experience in applying Data Science / ML in production to build data‑driven products.
• Familiarity with Product Analytics and user behavior tracking.
• Strong coding skills in a general-purpose language like Python or Scala.

Responsibilities

• Shape the direction of key data science areas for 2020.
• Work closely with Product Management and other stakeholders.
• Mentor and guide data scientists on the team.

Skills

Data Science / ML

Product Analytics

Collaboration

Coding in Python or Scala

Data Analysis and Visualization

SQL

Distributed Data Processing (Spark, Hadoop)

Education

BS/MS/PhD in Computer Science or related field

Tools

R

Python

Scala

Job description

As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by solving product and business challenges.

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 on 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 behavior using lenses such as adoption, churn, cohorts, and funnel analysis.
• Experience collaborating with stakeholders across business functions, especially Product, Customer Success, Engineering, Sales, Marketing, and Finance.
• Strong coding skills in a general‑purpose language like Scala or Python, and familiarity with software engineering principles around testing, code reviews, and deployment.
• Proficiency in data analysis and visualization using tools such as 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.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We consider all applicants 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.

Pay Range Transparency

Pay range for this role: $123,200 – $218,000 USD. Total compensation may also include annual performance bonus, equity, and benefits.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within employer's discretion whether to apply for a U.S. government license for such positions, and employer may decline to proceed with an applicant on this basis alone.