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In your Data Scientist role, you’ll help us deliver better care for billions of people around the world. Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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The Security Analytics Data Scientist will lead programs to solve complex problems and deliver insights on trends as well as provide mentorship to other data scientists/analysts on the team.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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10 years professional work experience as a data scientist or on advanced analytics / statistics projects with 5 years’ experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.
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The Principal Data Scientist, Digital Solutions reports to the Head of Technology, Digital Solutions. The Principal Data Scientist role will closely work with cross-functional product teams and responsible for designing, developing, and deploying external customer focused Product focused AI (PAI) / data science solutions to extract valuable insights and intelligence from large and complex medical datasets.
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The Principal Data Scientist role will exhibit a sense of inquisitiveness and a creative mind to uncover novel opportunities that will directly contribute to enhancing the quality of patient care and the development of innovative medical devices and therapy solutions.
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The Hartford’s Incubation Lab seeks an energetic and passionate Senior Data Scientist to drive the design, development, and implementation of solutions modernizing and transforming our operations and business.
$106,960 - $160,440 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Technical Lead, you will play a crucial role in mentoring and guiding our talented team of data scientists, ensuring the successful delivery of projects and driving innovation in our NLP and unstructured data solutions.
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We are looking for a Data Scientist/Quantitative Financial Manager who will be responsible for applying advanced statistical and quantitative techniques to analyze financial data and create indices and products based on our proprietary data set.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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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 Data Scientist is someone who has a deep understanding of Advanced Analytics and Machine Learning. M1’s Risk Analytics team is looking for a Data Scientist to assist in analysis and model development as well as deploying and maintaining code in our loan decisioning system.
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We seek a talented Associate Data Scientist to join us as we develop our data-driven, analytic-focused, and predictive products to help revolutionize the law enforcement risk management ecosystem.
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As the first data scientist at NinjaTrader, you will report directly to the Sr. Director of Data & Analytics. As a Sr. Data Scientist at NinjaTrader, you will shape the future of the world’s leading retail futures trading platform.
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Hands-on experience in data science solutions using open-source tools and cloud platforms. At least 2 years of experience in open-source programming for large-scale data analysis. Employ a diverse array of technological tools such as Python, Conda, AWS, H2O, and Postgres SQL to derive actionable insights from large-scale data sets.
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Title: data scientist in Chicago, IL
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