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Jobright.ai Get AI-powered advice on this job and more exclusive features. Meta Platforms, Inc. (Meta) is a technology company that builds products to connect people and grow businesses. The Data Scientist, Product role involves collecting and analyzing data to inform product decisions, partnering with teams to identify trends, and applying machine learning techniques to forecast business trends. Responsibilities: Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products. Apply your expertise in quantitative analysis, data mining, machine learning, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Inform, influence, support, and execute our product decisions and product launches. May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. Forecast business trends using quantitative analysis and machine learning techniques. Qualifications: Required: Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field, and 6 months of work experience in the job offered or in a computer or risk management related occupation. Requires 6 months of experience in the following: 1. Performing quantitative analysis including data mining on highly complex data sets 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab 5. Applied statistics or experimentation, such as A/B testing, in an industry setting 6. Machine learning techniques 8. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics 10. Designing and developing dashboards to monitor metrics 11. Deep learning techniques, optimization and heuristics 12. Risk management, including fraud detection and risk monitoring. Company: Meta is a social technology company that enables people to connect, find communities, and grow businesses. Founded in 2004, the company is headquartered in Menlo Park, California, USA, with a team of 10001+ employees. The company is currently Public Company. Meta has a track record of offering H1B sponsorships. Seniority level
Seniority level
Entry level Employment type
Employment type
Full-time Job function
Job function
Product Management Industries
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Data Scientist, Product, New Grad
role at
Jobright.ai Join to apply for the
Data Scientist, Product, New Grad
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Meta Platforms, Inc. (Meta) is a technology company that builds products to connect people and grow businesses. The Data Scientist, Product role involves collecting and analyzing data to inform product decisions, partnering with teams to identify trends, and applying machine learning techniques to forecast business trends. Responsibilities: Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products. Apply your expertise in quantitative analysis, data mining, machine learning, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Inform, influence, support, and execute our product decisions and product launches. May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. Forecast business trends using quantitative analysis and machine learning techniques. Qualifications: Required: Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field, and 6 months of work experience in the job offered or in a computer or risk management related occupation. Requires 6 months of experience in the following: 1. Performing quantitative analysis including data mining on highly complex data sets 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab 5. Applied statistics or experimentation, such as A/B testing, in an industry setting 6. Machine learning techniques 8. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics 10. Designing and developing dashboards to monitor metrics 11. Deep learning techniques, optimization and heuristics 12. Risk management, including fraud detection and risk monitoring. Company: Meta is a social technology company that enables people to connect, find communities, and grow businesses. Founded in 2004, the company is headquartered in Menlo Park, California, USA, with a team of 10001+ employees. The company is currently Public Company. Meta has a track record of offering H1B sponsorships. Seniority level
Seniority level
Entry level Employment type
Employment type
Full-time Job function
Job function
Product Management Industries
Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for Data Scientist roles.
Data Scientist II Experimentation & Measurement
San Mateo, CA $153,300.00-$229,900.00 1 week ago Data Scientist, Analytics - Safety Response
Data Science Graduate (TikTok-Product-Data Science) - 2025 Start (MS)
San Jose, CA $114,000.00-$177,777.00 1 week ago Menlo Park, CA $145,000.00-$204,000.00 2 weeks ago Sunnyvale, CA $140,000.00-$156,000.00 3 hours ago Fremont, CA $145,000.00-$204,000.00 2 weeks ago Oakland, CA $10,279.00-$11,900.00 1 week ago San Jose, CA $109,000.00-$192,400.00 1 week ago San Mateo, CA $120,000.00-$135,000.00 1 week ago Mountain View, CA $136,301.00-$172,486.00 1 day ago South San Francisco, CA $54.00-$97.00 2 weeks ago Data Scientist Graduate (TikTok-Product-Data Science)-2026 Start (BS/MS)
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San Jose, CA $144,000.00-$329,333.00 1 week ago Data Scientist Graduate (TikTok-Search)-2026 Start (MS)
San Jose, CA $114,000.00-$177,777.00 1 day ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr