Data Scientist (PhD Intern, 2027)

Roblox; San Mateo (CA); Sur place; USD 160 000 - 210 000; Plein temps

Résumé du poste

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).

Responsabilités

• 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.

Connaissances

ML modeling

Experiment design

Causal inference

Python

R

Statistics

Formation

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

Outils

SQL

Hive

Spark

Airflow

Description du poste

• The Data Science & Analytics organization’s mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, causal inference, economics, statistical modeling and machine learning
• Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers
• Teams Hiring for this role:
• Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models
• Safety: Managing account relationships and the real-time morphing of linguistic mapping
• Economy: Drive creator success and growth by exploring marketplace structure and pricing
• Engine: This team is dedicated to enhancing Roblox’s overall stability and performance, enabling all its functionalities
• Social: Analyze user engagement to identify areas for enhancing the user experience and delivering greater value
• Consumer/Growth: Optimize our user’s experience and provide them with UX and content to maximize intention and engagement on the platform
• Creator/Ads and Brands: Understand the long term value and contribution Creators have to the health of Roblox’s ecosystem
• Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions to power the business and product innovations
• Conduct in-depth research to address complex data-related challenges
• Work on projects that have a real impact on our products, services, and business strategy
• Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers
• Present your findings and recommendations to both technical and non-technical stakeholders

Experience with ML modelingPassion for applying scientific rigor to advance dynamic consumer productsProficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or AirflowProficiency in one or more programming languages (e.g.,SQL,Python or R)Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social ScienceExperience in developing production solutions is a plusAt least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship