Top Data & Analytics Jobs in Nashville, TN
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Agile Six is seeking a Data Scientist to join a remote, cross-functional agile team responsible for architecting and building a data platform for a new Postal Service Health Benefits System. The role involves data analysis, data quality assessment, report and dashboard development, and communication of insights to stakeholders.
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Implementation Consultant responsible for StrataJazz® software implementation, customer training, and strategic growth projects in the healthcare industry. Requires expertise in Managed Care, payor/provider contract modeling, and Agile methodologies. Strong communication and advanced Excel skills are essential.
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As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. You will be responsible for analyzing, designing, and developing integration solutions using tools like Mule, Boomi, Apigee, and OIC. You will also collaborate with cross-functional teams to gather integration requirements and identify opportunities for process improvement.
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Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Use a broad range of tools and techniques to extract insights from current industry trends. Collaborate with cross-functional teams to gather integration requirements and identify opportunities for process improvement. Analyze, design, and develop integration solutions that facilitate seamless communication between different systems and applications. Customize and configure integration tools like Mule, Boomi, Apigee, OIC, and similar iPaaS platforms.
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As a Lead Data Scientist, you will be responsible for testing and optimizing the DaVinci Personalization product, conducting deep dives into data, resolving issues, and improving the recommender system. You will collaborate with client-facing teams and drive projects involving multiple teams.
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Lead and mentor a team of machine learning modelers for Cash App's Personalization ML Modeling group. Partner with product leaders to incorporate machine learning into new features, identify AI opportunities, and communicate with senior leadership. Stay updated on AI techniques and contribute to overall ML and AI strategy at Block.
MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, and pers...
The Staff Data Scientist at Enigma will be responsible for translating customer goals into innovative solutions using machine learning and statistics. They will work in cross-functional teams with other data scientists, engineers, and product managers to improve the accuracy and usability of Enigma's product. The ideal candidate will have 6-8+ years of industry experience in statistics and distributed machine learning, as well as experience as a tech lead or manager of data scientists. Strong communication skills and an advanced degree in a quantitative discipline are preferred.
As a data engineer, you will be part of a data management team that supports and enables our product, operations, analytics, and data science teams. You will be integral in managing, structuring, and storing data, as well as developing new solutions related to data architecture and ETL pipelines.
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Loom is seeking a Principal Machine Learning Scientist specializing in video and audio AI to advance their cutting-edge technologies in computer vision, natural language processing, and audio analysis.
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As a Staff Data Engineer at Square Banking, you will play a key role in building a Financial Data Mesh Platform using real-time Big Data technologies. You will design large-scale data processing systems, ensure data quality, and collaborate with cross-functional teams to accelerate decision-making processes. This role involves implementing data infrastructure, building core datasets, and staying updated on emerging technologies.
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