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Qualifications Required Skills: Bachelors degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis Masters/MBA or PhD is preferred.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Advanced degree in a quantitative discipline, e.g., computer science, mathematics, physics, statistics, applied mathematics, economics, or operations research. Communicate data science and machine learning concepts to a variety of audiences (product managers, software engineers, executives, sales partners.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) 7+ years of demonstrated experience in Omnichannel marketing and analytics space, inclusive of digital display, online video, premium OLV, CTV, paid search, social media, and website marketing; and familiarity withdigital targeting, activation, trafficking, and measurement.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Animation, Cloud Computing, Collaboration Tools, Computer Science, Data Manipulation, DevOps, Marketing, Mathematics, Microsoft Power BI, Pharmacology, Python (Programming Language), QlikView, StatisticsID:uDnQdo.
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Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Bachelors degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis.
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Strong written and oral communication, data visualization, presentation, and interpersonal skills. Enhance first-party data asset and value through deep analysis of website traffic drivers, customer website behavior, and CRM engagement/impact on brand adherence.
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The team is responsible for the data science modules that power all the products of the company, including Analytics, Search Relevance, User Personalization, Recommendation and Content Intelligence.
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GDIT is seeking a motivated Junior Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for building the Metadata Application Profile (MAP) that aligns attributes from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data for analysis.
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