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Facebook Data Scientist Jobs (NOW HIRING)

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this ... Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)

Peoplevisor is seeking an experienced Data Scientist who will support our product, sales ... Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Peoplevisor is seeking an experienced Data Scientist who will support our product, sales ... Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a data scientist intern, you will work ...

Commercial / Trading About the role As a Data Scientist, you will apply advanced data, programming ... Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. We value ...

Engineering Data Scientist

Lynchburg, VA ยท On-site +1

$62K - $97K/yr

Follow us on LinkedIn , X , Facebook and Instagram . BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work! BWXT is People Strong, Innovation ...

Engineering Data Scientist

Lynchburg, VA ยท On-site +1

$62K - $97K/yr

Follow us on LinkedIn , X , Facebook and Instagram . BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work! BWXT is People Strong, Innovation ...

Our Impact Data science is integral to Parafin's mission. Our platform partnerships and lending ... Segment, Facebook, and Google. We value first-principles thinking, attention to detail, and ...

Meta is seeking a Data Scientist to partner with product teams and drive data-informed decision ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

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Facebook Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do facebook data scientist jobs pay per year?

As of Jun 17, 2026, the average yearly pay for facebook data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Facebook Data Scientist, and why are they important?

To excel as a Facebook Data Scientist, you need a solid background in statistics, data analysis, and computer science, typically supported by a relevant degree and experience in quantitative research. Proficiency with SQL, Python or R, data visualization tools, and familiarity with big data platforms like Hadoop or Spark are commonly required, along with experience using machine learning libraries. Strong communication, problem-solving abilities, and collaboration skills help differentiate top performers in this role. These competencies are vital for translating complex data into actionable insights that drive strategic business decisions at scale.

What does a Facebook Data Scientist do?

A Facebook Data Scientist analyzes large sets of data to provide insights that guide decision-making across various teams at Facebook (now Meta). They use statistical analysis, machine learning, and data visualization techniques to solve business problems, improve user experience, and drive product development. Their work often involves collaborating with engineers, product managers, and designers to test hypotheses, measure the impact of new features, and optimize processes. Data Scientists at Facebook play a crucial role in shaping the company's strategies using data-driven methods.

What types of projects do Facebook Data Scientists typically work on, and how do they collaborate with other teams?

Facebook Data Scientists often work on projects that involve analyzing large-scale user data to drive product improvements, optimize algorithms, and support business decisions. They regularly collaborate with product managers, engineers, and designers, contributing data-driven insights to shape product direction and strategy. Data Scientists also partner with other analytics and research teams to validate hypotheses and ensure robust methodologies. This cross-functional collaboration is essential for translating complex analyses into impactful product changes and measurable business outcomes.
More about Facebook Data Scientist jobs
What cities are hiring for Facebook Data Scientist jobs? Cities with the most Facebook Data Scientist job openings:
What states have the most Facebook Data Scientist jobs? States with the most job openings for Facebook Data Scientist jobs include:
Data Scientist

Data Scientist

RADaR

Columbia, MO โ€ข Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 1 hour ago


Job description

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

  • Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
  • Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
  • Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
  • Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
  • Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
  • Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
  • Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
  • Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • 3+ years of professional experience applying statistical methods and machine learning to business problems
  • Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
  • Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
  • Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
  • Experience with SQL and working with large-scale databases
  • Proven ability to design and analyze A/B tests and controlled experiments
  • Track record of translating complex analytical insights into clear, actionable business recommendations
  • Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

  • Experience working with advertising agencies, marketing teams, or in the ad tech industry
  • Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
  • Familiarity with marketing attribution models and multi-touch attribution methods
  • Experience with cloud computing platforms (AWS, GCP, or Azure)
  • Knowledge of causal inference methods and their application to marketing effectiveness
  • Experience with customer data platforms (CDPs) and marketing automation tools

Education

  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

  • The chance to be a part of a growing company and the next success story
  • Amazing opportunities for career development
  • Recognition programs
  • Employee referral bonus
  • Hybrid work schedule; 3 days in the office, 2 days working from home
  • Fun and collaborative work environment
  • Casual dress code
  • Insurance Coverage (medical, dental, vision, life, and disability)
  • 401(k) retirement plan, with employer 4% match
  • Work/life benefits, including mental health and wellbeing support
  • Flexible Time Off Policy
  • Paid holidays, including agency soft closing Christmas Eve-New Year's Day
  • Paid leave options, including sick leave, medical leave for self and family, and parental leave

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