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Bachelor's degree from an accredited college or university in Social Work, Behavioral Science, or a related field, and three years progressively responsible experience providing direct case management social services including accessing clients’ needs and developing individual, comprehensive, long-term action plans for recovery utilizing a wide variety of resources, or any equivalent combination of training and experience which provides the required knowledge, skills, and abilities.
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7+ years of health system analytics professional experience (e.g., business intelligence, program/product management, healthcare operations, clinical optimization, data science, machine learning, artificial intelligence, and/or healthcare financial modeling.
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Data Driven – Extremely comfortable diving deep into analytics platforms, spreadsheets, etc., to detect patterns on which to capitalize while leveraging the latest in data science.
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Provide long term technology solutions to financial modeling using modern data engineering, data visualization, data science, and machine learning. Optimize data flows into actuarial modeling platforms for Life & Annuities (Moody’s Analytics AXIS, Slope) for Variable Annuities (Atlas), and for Casualty (Milliman Arius.
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This role is accountable for leading data science initiatives, from ideation to deployment, across all the products/programs in the "Digital Core" areas in the multi-billion-dollar Pet Nutrition division.
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7+ years of relevant professional experience; 2+ years of management and leadership experience in reporting and analytics, specifically in connecting business strategy to processes for data management, analytics, data science, business intelligence, and/or reporting.
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The Director, Data Science COE Digital Core for Global Pet Nutrition is a strategic leadership role that oversees the development and implementation of advanced data science solutions that drive business value.
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They will be expected to bring hands-on expertise in EDA, data normalization, feature creation, data transformation, feature extraction, model benchmarking, statistics and data science techniques, data engineering, metadata management, and data governance.
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The Life Science Data Products Commercial team draws upon deep expertise in oncology product commercialization including product strategy, market access, and go-to-market models with a deep understanding of the use of real-world data across these functions.
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This role will collaborate closely with cross-functional teams including product management, data strategy and governance, engineering, data science, and business development. Enterprise data domain ownership: Collaborate with Pet Nutrition's business and Digital foundation teams to design enterprise level data domain map that meet business requirements, ensuring alignment with data and platform architecture principles.
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Technical Qualifications AWS Mastery: Deep expertise in the AWS cloud platform, especially the services relevant to data science such as SageMaker, Redshift, EMR, Kinesis, and Lambda. Additionally, you will lead a team of data scientists, providing technical guidance and mentoring, while staying up-to-date with the latest trends in data science and incorporating them into our processes.
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Kanini provides Agile Software Development, Cloud Computing, Data Science, and Location Intelligence services to public and private organizations. Bachelor’s degree in computer science, Information Technology, or a related field.
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Collaboration with engineering, product, and data science teams is essential to integrate machine learning models into production systems. Share & Disclaimer Share this job Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies.
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The Director of Data Science and Analytics will build and influence the future of data science at the Carrington family of companies, acting as a sophisticated analytics leader and advisor to the business.
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A strong analytical thinker and translator with exceptional data-dexterity, and deep knowledge of research techniques and third party resources that reveal behavioral understanding, hypothesis validation and usability.
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data science jobs in Nashville, TN
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