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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). 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.
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MS / PhD in a quantitative discipline (e.g., engineering, machine learning, data science, operations research, economics) with 8+ years experience. Data Science plays a ubiquitous role in Credit Karma's product, serving as the foundation for core machine learning capabilities that drive monetization, personalization, and a value-centric experience for our members.
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The Department of Radiology and Biomedical Imaging at UCSF is seeking a postdoctoral fellow interested in quantitative imaging and data science with application to breast cancer diagnosis and treatment.
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Bachelors degree in Statistics, Mathematics, Data Analytics, Computer Science, or related quantitative field required. The Director, Data Science & Customer Analytics will develop and leverage data-driven insights to drive strategic decision-making and business growth.
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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.
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Director, Data Science - Monetization Infrastructure. The ideal candidate has experience with large-scale systems and data product background. Inspire, lead and grow a team of data scientists and managers across multiple teams.
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This incumbent should have extensive researching skills with excellent writing and editing skills, an understanding of qualitative and quantitative data analyses, and creating presentation decks.
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Working towards a Bachelor's Or Master's degree in data science/ statistics/engineering/math/quantitative analytics or a related quantitative discipline required. Knowledge of data science techniques.
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Analyze quantitative and qualitative research data and contribute to the reporting and interpretation of findings. Established in 1946, with headquarters in Arlington, Virginia, AIR is a nonpartisan, not-for-profit institution that conducts behavioral and social science research and delivers technical assistance to solve some of the most urgent challenges in the U.S. and around the world.
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Develop mathematical models, based on requirements and data at hand, which estimate quantitative behavior. Experience with relational or/and big-data databases (MongoDB, MS-SQL, MySQL, PostgreSQL, Elasticsearch.
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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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The Research Scientist should have skills, experience, and an interest in producing cutting-edge quantitative research on the relationship between education and cognitive aging using longitudinal surveys, biomarkers, and administrative data linkages.
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Skilled in SQL, Adobe Acrobat, PowerPoint, Python, Excel, WebEx, Word, R, Linux, GIT/GITHub, deep learning framework (Pytorch), data science packages (Numpy, Pandas), AWS, transformers (Hugging Face), chatbots and dialogue systems (recommended.
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PhD in a quantitative field (e.g. biology, bioinformatics, computational/systems biology, physics, mathematics, computer science) You have a strong background in computational biology or bioinformatics and you have experience working with single cell data.
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Bachelor's degree in a quantitative discipline (i.e. statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science) preferred.
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