Product Analytics Data Scientist — ML & Causal Inference

Roblox; San Mateo (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

Roblox is seeking a data scientist to join the Data Science & Analytics organization. You will collaborate with product and engineering teams to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions that power our community of players and developers.

You will conduct in-depth research on complex data challenges, work on projects with real impact on products, services and business strategy, and present findings to technical and

Qualifications

• Experience applying ML modeling to real-world products.
• Strong background in statistics and experimental design.
• Ability to translate data insights into product decisions.
• Proficient in at least one programming language (Python or R).

Responsibilities

• Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions.
• Conduct in-depth research to address complex data challenges.
• Work on projects with real impact on Roblox products, services, and business strategy.
• Present findings and recommendations to both technical and non-technical stakeholders.
• Apply work to expedite product innovations, including in-experience experiments and dynamic resource allocation.

Skills

ML modeling

Experiment design

Causal inference

Python

R

Statistics

Education

PhD in Statistics, Applied Math, CS, Economics, or related quantitative field

Tools

SQL

Hive

Spark

Airflow

Job description

Roblox is seeking a data scientist to join the Data Science & Analytics organization. You will collaborate with product and engineering teams to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions that power our community of players and developers.

You will conduct in-depth research on complex data challenges, work on projects with real impact on products, services and business strategy, and present findings to technical and