drjobs Principal Data Scientist - Discovery Experiences

Principal Data Scientist - Discovery Experiences

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

San Mateo, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

WHY DATA SCIENCE & ANALYTICS

The Data Science & Analytics organizations 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 experimentation causal inference statistical modeling and machine learning. Aligned and partnering with product verticals we use this extensive tool belt 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.

WHY DISCOVERY EXPERIENCES

Were seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders youll drive strategic decisions for user growth and product innovation leveraging all data science toolkits (analytics experimentation forecasting and ML solutions) to improve end-to-end consumer journeys on Roblox. The roles will primarily focus on Discovery Experiences. Discovery surfaces (i.e. home search matchmaking notifications) are critical to fostering engagement and long-term relationships with our platform. The complex network of our two-sided marketplace combined with the ever-evolving metaverse presents exciting challenges.

You Will:

  • Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints.
  • Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams.
  • Partner closely with Product and engineering leaders to inform drive and accelerate innovations in discovery experiences via Insights frameworks causal inference solutions and machine learning prototypes.
  • Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives ranging from Roblox events to social features susceptible to network effects.
  • Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.
  • Design and implement experiments for new features and communicate results succinctly to non-technical audiences.
  • Report directly to the Senior Director Data Science on the consumer

You Have:

  • Advanced Degree and/or PhD in Statistics Computer Science Physics Applied Math Economics or other related quantitative fields
  • 10 years of industry experience in data science economics analytics or machine learning engineering
  • 7 years of experience using scripting languages (Python R) and big data query/processing languages and tools such as SQL Hive Spark and Airflow
  • Knowledge of ML and Deep Learning either via formal training or industry experience
  • Ability to apply creative first-principles reasoning to solve ambiguous problems
  • Experience developing large-scale recommendation systems as well as experience with content platforms specifically user-generated content

Required Experience:

Staff IC

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.