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5+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization. An MBA or Master’s or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research.
$134,000 - $204,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Employer will accept a Bachelor’s degree in Computer Science, Computer Engineering, Business Administration, or related field, followed by five years of progressive, post-baccalaureate work experience in job offered or in a data, software, or project engineering-related occupation.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Driving the vision for business intelligence and data warehousing across a product vertical, and defining and executing on a plan to achieve that vision. Business intelligence and data warehousing.
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Experience with data sets, Hadoop, and data visualization tools. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight.
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BA/BS in Computer Science, Math, Physics, or other technical fields. Drive data quality across the product vertical and related business areas. Build a high-quality BI and Data Warehousing team and design the team to scale.
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Manage data warehouse plans across a product vertical. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
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In this role as a Data Engineer on the Meta Data Center’s Data Science team, your primary responsibility will be to partner with key stakeholders, data scientists and software engineers to support and enable the continued growth critical to Meta's Data Center organization.
$134,000 - $204,000 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The Data Science director will partner with Engineering and Product leads across Meta Ads, and AI infrastructure to guide the strategic direction for one of the largest-scale ML infrastructure systems in the world, developing new ML infrastructure capabilities, improving the efficiency of the systems and adopting the ads data systems to meet privacy requirements.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We are looking for a Data Science Director who is passionate about analytics for large scale ML systems to help drive data-informed decisions for the Monetization Infrastructure team and help shape the long term strategic direction of the development of this system.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Bachelors/Masters in a quantitative discipline (e.g., AI, statistics, operations research, econometrics, computer science, engineering) with 10+ years (or PhD with 8+ years). The ideal candidate has experience with large-scale systems and data product background.
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Director, Data Science - Monetization Infrastructure. Inspire, lead and grow a team of data scientists and managers across multiple teams. 6+ years of work experience managing analytics teams, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. The team is at the heart of the Meta ads system, driving Meta’s advertising quality and revenue and the DS director role is central to ads business work and ads revenue.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
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Meta participates in the E-Verify program in certain locations, as required by law. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Contribute to long-term technical vision and strategy that will improve the quality and efficiency of Ads Infrastructure at scale. Apply statistical and analytical expertise to drive informed decisions about growing and improving Ads monetization infrastructure system.
ExpandApply NowActive JobUpdated 11 days ago
data science jobs Title: data Company: Meta
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