Data Scientist, Analytics (Technical Leadership)

Meta

Dover (DE)

In loco

USD 210.000 - 281.000

Tempo pieno

9 giorni fa
Generatore di candidature

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Vantaggi offerti da questo lavoro

Competitive compensation

Descrizione del lavoro

Meta seeks an experienced Data Scientist to drive impact across product areas. You will collaborate with cross‑functional partners to identify problems, shape product development, and quantify opportunities using data. You will guide teams with data-driven insights, develop hypotheses, and tell credible data stories to stakeholders across the company.

You will join a world‑class analytics community focused on skill development and career growth in analytics and beyond.

Competenze

  • Experience with SQL, Python, and analytical software for data querying and modeling.
  • Proven track record leading analytics work in cross‑functional settings.
  • Ability to communicate complex analyses clearly to stakeholders.

Mansioni

  • Work with complex data sets to solve challenging problems using analytic methods.
  • Partner with cross‑functional teams to inform product strategy and investments.
  • Define success metrics, forecast changes, and monitor key business metrics.
  • Develop data platforms and instrumentation in collaboration with executives.

Conoscenze

SQL
Python
R
SAS
Matlab
Analytics leadership
Data analysis
Experimentation
Cross-functional collaboration

Formazione

Bachelor’s degree in CS/Engineering or related field
Masters or PhD in quantitative field

Descrizione del lavoro

Summary:

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.

Required Skills:

Data Scientist, Analytics (Technical Leadership) Responsibilities:

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

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  2. 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)
  3. 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
  4. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross‑functional teams, including Engineering, PM/TPM, Analytics and Finance
  5. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  6. Experience communicating complex technical topics in a clear, precise, and actionable manner
Preferred Qualifications:

Preferred Qualifications:

  1. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
  2. Masters or Ph.D. Degree in a quantitative field
  3. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
  4. 10+ years of experience doing complex quantitative analysis in product analytics
  5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  7. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Public Compensation:

$210,000/year to $281,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff…? 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 accommodations-ext@meta.com.

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