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Data Scientist, Product Analytics

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Meta

16d ago

  • Job
    Full-time
    Senior Level
  • Data
    Product
  • London

AI generated summary

  • You need a relevant degree, 6+ years of experience with SQL, Python, and analytics, and the ability to solve problems with quantitative approaches and lead data-driven projects.
  • You will analyze large data sets, apply quantitative techniques, measure product success, test improvement opportunities, and collaborate with cross-functional teams to shape product strategy.

Requirements

  • Minimum Qualifications:
  • * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
  • * 6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • * 6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
  • Preferred Qualifications:
  • * Master's or Ph.D. Degree in a quantitative field

Responsibilities

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

FAQs

What is the primary role of a Data Scientist in Product Analytics at Meta?

The primary role involves shaping the future of people-facing and business-facing products by applying technical skills, analytical mindset, and product intuition to analyze data and solve product development challenges.

What type of data sets will I be working with in this position?

You will work with large and complex data sets, utilizing various analytical and statistical approaches to solve a wide array of challenging problems.

What is the minimum educational qualification required for this role?

A Bachelor's degree in Mathematics, Statistics, a relevant technical field, or an equivalent is required.

How many years of experience are needed for this position?

A minimum of 6 years of experience with data querying languages, scripting languages, and solving analytical problems using quantitative approaches is required.

What technical skills are necessary for the Data Scientist role?

Proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), and statistical/mathematical software (e.g., R) is necessary.

Are there opportunities for career growth and skill development?

Yes, joining Meta provides you with access to a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Will I be required to collaborate with other teams?

Yes, you will partner with Product, Engineering, and various cross-functional teams to inform and influence product strategy and investment decisions.

What kind of analytical approaches will I be using?

You will employ a varied toolkit of rigorous analytical approaches, methodologies, and frameworks to develop and test hypotheses related to product development.

What is expected in terms of communication skills?

You will need to convey data-driven stories effectively, convincing and influencing partners through clear insights and recommendations while building credibility.

Is a higher degree preferred for this role?

Yes, a Master's or Ph.D. Degree in a quantitative field is preferred but not mandatory.

Does the compensation include benefits?

Yes, in addition to base compensation, Meta offers benefits which can be learned more about on their benefits page.

Does the job require experience in experiment design and metric definition?

Yes, you should have experience leading data-driven projects including defining metrics, experiment design, and communicating actionable insights.

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Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.