Data Scientist, Product Analytics

Meta; Los Angeles (CA); On-site; USD 173,000 - 242,000; Full time

Job summary

Join a dynamic and innovative team at a leading tech company as a Data Scientist, where your analytical skills will shape the future of products used by billions. In this role, you will dive deep into complex data sets, applying your expertise to influence product strategy and drive impactful decisions. Collaborate with cross-functional teams to tackle challenging business problems, and leverage your insights to enhance user experiences across a suite of popular applications. This is an exciting opportunity to be part of a world-class analytics community focused on skill development and career growth in analytics and beyond.

Benefits

Bonus

Equity

Benefits

Qualifications

• 6+ years of experience in analytics, with a minimum of 4 years if holding a Ph.D.
• Strong background in data querying and statistical software.

Responsibilities

• Analyze large data sets to solve product challenges using statistical approaches.
• Collaborate with teams to influence product strategy and decisions.

Skills

Data Analysis

Statistical Analysis

Data Mining

Quantitative Analysis

Experimentation

Education

Bachelor's degree in Mathematics, Statistics, or a relevant field

Master's or Ph.D. Degree in a quantitative field

Tools

SQL

Python

R

Job description

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Data Scientist, Product Analytics Responsibilities

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. 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.
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

1. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.).
2. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
3. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).

Preferred Qualifications

1. Master's or Ph.D. Degree in a quantitative field.

Compensation: $173,000/year to $242,000/year + bonus + equity + benefits.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.