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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
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Taxation, Accounting, Finance, Quantitative Finance, Real Estate, Hospitality, Business Analytics, Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Technology, Management Information Systems.
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VP, Data Science RWE | Top 5 Pharma. PhD in a relevant field (e.g., biology, math, pharmacology, biomedical engineering, chemical engineering, computation biology, computer science, etc.
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Partner with a whole range of teams within the Data organization (Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Program Management) to deliver high impact, efficient Data solutions.
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Qualifications · Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics) · 1-3 years of Property-Casualty insurance work experience preferred.
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Job Requirements: Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Electronic Engineering, Data Engineering, Mechanical Engineering, or a related quantitative discipline and five (5) years of experience in the job offered or related role.
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A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
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10+ years of professional experience in data infrastructure (including data warehousing, ETL processes, and scalable data architectures), data engineering, and/or data science roles, with a focus on HR data.
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Requirements: Bachelor’s Degree Mechanical Engineering, Electrical Engineering, Environmental science/studies, Architectural Engineer, or equivalent Authorized to work in the United States 3+ years of experience working with NYC Energy Rebate Programs with sustainability or energy efficiency experience.
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High School Diploma or equivalent required, preferred currently enrolled in college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years work experience in computer hardware, network administration, or cyber-crime investigations.
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5+ years of experience within Analytics Engineering / Data Engineering / Data Science. A Bachelor's degree in a related field such as Computer Science or Data Science.
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As a product manager on our Trust & Safety team, you will work with data science, policy, algo, engineering, operations, and various relevant internal teams across the globe to form strategies and build features that ensure users are safe on our platform.
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EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Position SummaryThe Clinical Data Science team is tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Major or minor of studies in a field of Quantitative Finance, Financial Engineering, or a related technical field that blends advanced quantitative methods with finance and economics is a plus.
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