Key Skills
Apache Hadoop, Apache Hive, Data pipelines, Data science techniques, Java Programming, MATLAB Programming, Python Programming, R Programming, SAS, SQL, Terabyte scale datasets
Job Description
- Lead and collaborate on projects with a globally based team of researchers, data scientists, and engineers inside and outside of Meta.
- Work on interdisciplinary projects and teams and identify and explore interdisciplinary opportunities, in particular bridging between the physical sciences and data science and machine learning addressing challenges directly relevant to Meta.
- Ensure coordination of theirs and others’ projects across related workflows, to maximize impact and avoid duplication and overlaps.
- Work cross-functionally as a strategic partner to define priorities and develop project roadmaps in synergy with partner teams. Build consensus and earn commitment from partners. Drive execution through fast iteration.
- Employ languages and tools like Python, R, SQL, and others to drive efficient data exploration and modeling.
- Identify how data science can be applied to improve, optimize, and expand Meta’s infrastructure across a variety of domains, with emphasis on long-term and strategic initiatives.
- Build pragmatic, scalable, and statistically rigorous solutions by leveraging or developing statistical and machine learning methodologies.
- Generalize methodologies for broader application within and outside their domain.
- Lead and provide technical mentorship to data scientists, to ensure continuous up-leveling of our expertise.
- Share results internally and externally through means of publications, presentations and blog posts.
Minimum Qualifications
- 6+ years of experience doing quantitative analysis including experience with SQL, other programming languages (e.g, Python) or statistical/mathematical software (e.g, R, SAS, MATLAB)
- Experience in quantitative measurements of noisy data, through e.g. demonstrated track record in experimental physics, high energy physics, data science or a similar discipline
- 6+ years of experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
- High proficiency in communicating projects to both technical and non-technical audiences
- Advanced Degree (MSc, PhD) in Physics, Electrical Engineering, Mechanical Engineering or a related technical field
- 4+ years experience developing production software systems such as data pipelines, deployed machine learning models, or dashboards
- Experience working on cross-functional teams and matrixed organizations
- Experience working on technologies spanning multiple disciplines. In particular, physics and data science and machine learning
- Demonstrated track record of starting and leading successful interdisciplinary research and engineering projects
- Experience in handling multiple competing priorities in a fast-paced environment
Preferred Qualifications
- 4+ years of experience doing complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases) or highly complex datasets
- 2+ years experience leading teams of other data scientists
Company Info.
Meta Platforms, Inc.
Meta Platforms (formerly known as Facebook Inc.) is a large technology company that was founded in 2004 by Mark Zuckerberg and several of his college roommates. The company is based in Menlo Park, California, and is primarily known for its flagship social media platform, Facebook. In addition to its consumer-facing products, Meta Platforms also offers a range of advertising and marketing services to businesses and organizations.
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Industry
Advertising,Consumer electronics,Social media Company,Artificial intelligence
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No. of Employees
76,000
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Location
1 Hacker Way, Menlo Park, CA 94025, USA
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Website
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Jobs Posted
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Meta Platforms, Inc. is currently hiring Research Data Scientist Jobs in Menlo Park, CA, USA with average base salary of $120,000 - $190,000 / Year.