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We are responsible for the end-to-end data science life cycle, right from ideation to developing Proof of concepts (PoC) and finally building and maintaining production data science and applications/products/featuresThis role is a unique opportunity to drive business value for multiple stakeholders and the ideal candidate must have deep design and hands-on development expertise in Statistics, ML, NLP, LLMs, model development and integrating ML solutions with business.
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If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey! However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Preferably a master's degree related to Intelligence Studies, Forensic Science, Security Studies, Computer Science, Cybersecurity, Data Analysis, or a related field.
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We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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Working knowledge or coursework in data science and knowledge of data science languages such as R, SQL, and Python. Bachelor's Degree (BS/BA), 1-2 years of experience in data science, data analytics, or paid media as an intern or full-time.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. The Azure Cloud Engineer strategizes, designs, develops and work with a team of dynamic and passionate data engineers to deliver automated cloud infrastructure and DevOps solutions.
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You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
$219,200 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics. 5+ years of experience in applied data science or quantitative research or related role.
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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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Reporting directly to the Assistant Commissioner of Management Analysis and Planning, with wide latitude for independent initiative and judgment, the Director of Data Science and Innovation will assist senior leadership in making evidence-based decisions.
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The Senior Director of Data Infrastructure and Data Science is a key leader in our People Insights, Analytics, and Workforce Planning team. 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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Working closely with the Sr. Director of FP&A, the Deputy CFO, and across all Finance and Accounting functions (including Treasury, Grants Management, Accounting, Payroll, Tax and Compliance, and Procurement to Payment), they will be expected to be a critical thinker and eager to innovate, collaborate, and drive change while ensuring compliance with legal requirements and maintaining data and system integrity.
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data science a jobs Title: science director Company: Humana in Jersey City, NJ
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