Junior Decision Scientist, Product
Jobright.ai - Menlo Park, California, United States, 94029
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Overview
Junior Decision Scientist, Product
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Junior Decision Scientist, Product
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Jobright.ai Meta Platforms, Inc. is focused on building technologies that facilitate human connection. The Decision Scientist, Product will analyze data to inform marketing strategies, collaborate with teams to identify trends, and support product launches. Responsibilities: • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of marketing campaigns for Meta products and brands. • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products, as well as with our ads and social marketing pages. • Partner with Marketing and Engineering teams to solve problems and identify trends and opportunities. • Inform, influence, support, and execute our product go-to-market decisions and product launches. • May be assigned projects in various areas including, but not limited to, consumer marketing campaign support, product operations, exploratory analysis, product influence, and data infrastructure. • Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. • Exercise judgment within defined procedures and practices to determine appropriate action. Qualifications: Required: • Bachelor's degree (or foreign degree equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation. • Requires two years 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 • 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics. 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
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