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This role requires a proactive, innovative, and highly organized individual who is systems-minded and tech-savvy, ready to lead and manage a variety of strategic projects to enhance our guest experience, operational efficiency, and property development.
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We are seeking a seasoned Data Science leader who is an expert at connecting the dots between business, data and tech, can lead a global team of data scientists, operate with a startup mentality to deliver new products and establish our experimentation framework in Humana Pharmacy Solutions.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Experience with Python, R, SAS or other statistical programming language. Flexible, dynamic personality who works well in a team environment and is able to lead a diverse team of data scientists, statisticians, and advanced analytics professionals.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. You be working in the Card Partnerships Conversion tech team supporting Partner Conversions into Capital One. Looking for someone who is passionate about data and has experience implementing scalable data architectures along with prior hands-on data engineering experience leveraging Scala or Python in building ETL pipelines.
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A deep technical background in applied data science, spanning some or all statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics.
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As the AVP, Data Science, your mission is focused on executing on approaches and projects related to advanced analytics, causal inference, and machine learning. Degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or Applied Science related field.
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DescriptionHumana's Associate Vice President (AVP), Technology and Cybersecurity Risk works closely with all areas of Enterprise Information Protection (EIP), Internal Audit, Enterprise Risk Management, business units, regulator.
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Our client, a leading med tech company with over 125 years of experience, has engaged GForce Life Sciences to provide a Sr. Biostatistician. Must demonstrate progressive experience in consulting and serving as lead consulting biostatistician on product development projects.
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We are seeking an experienced Software Engineer II to join the CSCP blockchain team and lead the development of blockchain-based solutions for supply chain challenges in the high-tech industry.
$94,300 - $198,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience as a mentor, tech lead or leading an engineering team. You need to not only be a top software developer with excellent programming skills with a stellar record of delivery but also show bias for customer obsession.
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Humana is a Fortune 40 market leader in integrated healthcare whose dream is to help people achieve lifelong well-being. Experience with cloud platforms such as Azure, AWS, or Google Cloud. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion.
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Job InformationHumanaAVP, Stars and Risk Adjustment National Medical DirectorinPortsmouthNew HampshireDescriptionThe Healthcare Quality Reporting & Improvement (HQRI) organization is seeking a talented Physician executive t.
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Further, the candidate has experience building a strategy to support the business through innovative and sound model deployment, while fostering relationships with business to become a champion for data science through demonstrating in an easily understood narrative the value proposition.
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The AVP, Data Science develops, maintains, and collects structured and unstructured data sets for analysis and reporting. The AVP, Data Science develops criteria for the prioritization, implementation, and scaling of Data Science and other analytical products.
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