Summary

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.

This is a temporary, part-time position requiring no more than 20 hours per week for a 3-month duration, with possibility to extend.

Teams Hiring for this role:

1. Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models.
2. Safety: Managing account relationships and the real-time morphing of linguistic mapping.
3. Economy: Drive creator success and growth by exploring marketplace structure and pricing.

You Will:

1. 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.
2. Conduct in-depth research to address complex data-related challenges.
3. Work on projects that have a real impact on our products, services, and business strategy.
4. Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers
5. Present your findings and recommendations to both technical and non-technical stakeholders.

You Have:

1. Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science, Operations Research, Computer Engineering, Electrical Engineering.
2. At least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship.
3. Proficiency in one or more programming languages (e.g., SQL, Python or R)
4. Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow.
5. Passion for applying scientific rigor to advance dynamic consumer products.
6. Experience in developing production solutions is a plus.
7. Experience with ML modeling

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. Please note that not all benefits shown on this page are applicable to internship opportunities.

Hourly Pay Range

$64—$64 USD

Skills

• Communications Skills
• Database Management
• Python
• SQL
• Team Collaboration