Data Scientist, Product Analytics (PhD)

Facebook; Seattle (WA); On-site; USD 114,000 - 171,000; Full time

Job summary

An established industry player is seeking a skilled Data Scientist to drive product development using data insights. In this role, you will work with vast data sets, applying your analytical expertise to shape the future of innovative products. Collaborating with diverse teams, you will influence strategies and enhance user experiences for billions. This position offers a unique opportunity to be part of a world-class analytics community that values skill development and career growth. If you are passionate about data and its impact on product development, this role is perfect for you!

Benefits

Bonus

Equity

Comprehensive Benefits

Skill Development Opportunities

Qualifications

• Ph.D. in relevant field required, with strong experience in data analysis.
• Expertise in SQL, Python, and R is essential for this role.

Responsibilities

• Analyze complex data sets to solve product challenges and drive strategy.
• Collaborate with cross-functional teams to influence product decisions.

Skills

Data Analysis

Statistical Analysis

Data Mining

Communication Skills

Problem Solving

Quantitative Analysis

Education

Ph.D. in Mathematics, Statistics, or relevant technical field

Bachelor's degree in Computer Science or relevant field

Tools

SQL

Python

R

MapReduce

Hadoop

Hive

Job description

Summary:

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 wide-range 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.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will influence and convince upwards, downwards and horizontally to your partners using clear insights and recommendations. You will build credibility through structure, clarity and comprehensiveness, and be a trusted strategic partner.

Required Skills:

Data Scientist, Product Analytics (PhD) 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. Currently has or in the process of obtaining Ph.D. in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
2. Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical packages (e.g., R).
3. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
4. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications:

1. Experience working with distributed computing tools (MapReduce, Hadoop, Hive, etc.).
2. Experience working with large data sets.
3. Experience manipulating and analyzing high-volume, high-dimensionality data from varying sources.

Public Compensation:

$114,000/year to $171,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].