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1 year of experience delivering solutions in at least two of the following: data science, data research, geospatial, finance, econometrics, cloud computing or big data and database management.
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Job Qualifications:Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs. Job Responsibilities: Team Leadership and Development: Lead, mentor, and develop a team of data scientists and machine learning engineers.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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The Director of Data Science will lead a team of highly talented and innovative data scientist in support of developing cutting edge data and analytics products to support decision sciences across all retail functions and brands.
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Job Title: Principal Data Scientist, Enterprise Advanced Data Science - FinanceJob Summary: Finance is of paramount importance to McKesson. Education:MS or PhD in data science or related fieldPhysical Requirements: General Office DemandsWe are proud to offer a competitive compensation package at McKesson as part of our Total Rewards.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities – leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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The ideal candidate will have earned a Ph. D. and/or M.D. in biomedical engineering, electrical engineering, physics, material science, computer science, or a related field. Specific focus research areas are open but may include the development, testing and application of nanomaterials, organic electronics, diverse sensors and autonomous or intelligent sensor systems.
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The firm’s proprietary approach is anchored by its unique quantitative research and data science platform, Arctos Insights. · At least five to seven years experience in data science, data engineering, data architecture or a similar role.
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BASIC QUALIFICATIONS Bachelor’s degree Information Systems, Computer Science, Mathematics or experience in a related field Knowledge of SAP (SAP AFS, Retail, or FMS preferred), Business Objects and SQL Server.
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As the Sr. Data Scientist, you be a critical partner to the business as you apply AI/ML/ Data science techniques to solve complex business problems and generate actionable insights (prediction, forecast, recommendations) for Customer Solutions to improve performance, optimize contract outcomes, and refine pricing strategy.
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Project/Program Management Business Intelligence tool experience Education and/or Experience: Bachelor's degree or higher in information management, information systems, law, computer science or BA/BS in another discipline with equivalent experience 7 or more years of applicable work experience Previous work with information or data governance control activities in the financial services industry.
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Bachelor's degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Economics, Epidemiology, Operations Research, or a quantitative Social Science. Exposure to Power BI, Tableau, Looker, Qlik, or a similar data visualization tool.
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science job Title: data in Irving, TX
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