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ASG provides a broad range of healthcare technology related services such as software development and integration, mobile apps, AI/ML, Analytics, Data Science, Bigdata, DevSecOps, Digital transformation, cloud, and cybersecurity.
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Experience with working in cloud-based data science, database, big data processing, and reporting tools – preferably on Azure such as Azure ML, Power BI, Azure Data Explorer/KQL, Synapse, Databricks, etc.
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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 6 years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role.
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Bachelor’s degree in Animal Science, Food Science or Biological Science from four-year college or university. Demonstrate the ability to define problems, collect data, establish facts, and draw valid conclusions.
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We're on the hunt for a highly skilled and experienced senior data scientist to lead the delivery of Generative AI solutions at the Citi Innovation Lab. We need someone who's not just knowledgeable but hands-on, with a track record in data science, Natural Language Processing (NLP), Understanding, and Generation.
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Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Collaborate with the TPG enterprise architects on an architecture defining our new data driven forecasting & planning strategy.
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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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Working knowledge of statistical packages such as SAS/JMP, R, Stata, GIS or similar; working experience in data management using Python, SQL, M, Dax, or other relevant software packages; and experience working with software developers, software vendors and statistical analysis groups.
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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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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customer’s unique experience and delivering results through our omnichannel business model.
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In a newly visioned position for the organization, the Director of Philanthropy will design and lead implementation of all fundraising goals and strategies, with a focus on science, education, and ocean-focused foundations, and public ocean science funders.
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Educational Requirements: Bachelors degree , preferably in a related field (Computer Science, Business Analytics, Management Information Systems, Data Science) Minimum Experience: A minimum of 7 years experience with various BI and other analytic reporting software applications with strong preference for EPIC, SQL, Crystal/SSRS Report development, and project management A minimum of 3 years of managerial/supervisory experience leading a highly, productive team.
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Undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent field. The preferred candidate will have an undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent field.
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Bachelor of Science degree from an accredited college/university with a major in biological, chemical, physical, or clinical laboratory science AND at least two years' experience in a role equivalent to that of a Medical Laboratory Technician (MLT) in a clinical laboratory.
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Key Functional Requirements & Qualifications: Advanced degree (PhD) in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.
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data science jobs Title: science director Company: Springboard
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