Data Scientist, (Technical Leadership) - Retail Analytics

Meta; Burlingame (CA); On-site; USD 206,000 - 281,000; Full time

Job summary

Meta is seeking an experienced Data Scientist in Technical Leadership for Retail Analytics. The role involves shaping product development, guiding teams with data insights, and collaborating with various partners to solve complex analytical problems. Candidates should have 8+ years of experience in analytics, strong communication skills, and expertise in predictive modeling and machine learning.

Qualifications

• 5+ years of experience with SQL, Python, or R.
• 8+ years of experience leading analytics work.
• Experience with predictive modeling and machine learning.

Responsibilities

• Solve challenging problems using analytical approaches.
• Apply technical expertise in quantitative analysis.
• Collaborate with cross-functional teams to define data platforms.

Skills

Data querying languages

Scripting languages

Statistical analysis

Predictive modeling

Machine learning

Education

Bachelor's degree in Computer Science, Engineering, or relevant field

Job description

Data Scientist, (Technical Leadership) - Retail Analytics

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Data Scientist, (Technical Leadership) - Retail Analytics

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This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$206,000.00/yr - $281,000.00/yr

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Data Scientist, (Technical Leadership) - Retail Analytics Responsibilities:

• Work with complex data sets to solve challenging problems using analytical and statistical approaches
• Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
• Identify and measure success through goal setting, forecasting, and monitoring key metrics
• Partner with cross-functional teams to inform and execute product strategy and investment decisions
• Build long-term vision and strategy for programs and products
• Collaborate with executives to define and develop data platforms and instrumentation
• Effectively communicate insights and recommendations to stakeholders
• Define success metrics, forecast changes, and set team goals
• Support developing roadmaps and coordinate analytics efforts across teams
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
• 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
• Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
• Experience with predictive modeling, machine learning, and experimentation/causal inference methods
• Experience communicating complex technical topics in a clear, precise, and actionable manner
  
  

Preferred Qualifications:

• 10+ years of experience with complex quantitative analysis in product analytics
  
  

About Meta:

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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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].

$206,000/year to $281,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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