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Top Senior Level Data Science Jobs in Dallas, TX
The Senior Data Scientist at Cohere Health is responsible for conducting data analysis to support product and leadership decisions, exploring healthcare and product usage data, and developing models to evaluate the impact of health outcomes. They will collaborate with teams to develop project requirements, present data-driven insights, and propose strategies to enhance healthcare services.
As a Data Scientist at Roblox, you will analyze large datasets to derive insights, support data management, and collaborate with teams to enhance analytical capabilities. Your role involves crafting reports for stakeholders, diagnosing operational issues, and ensuring data aligns with business objectives while mentoring others in data-driven HR initiatives.
As a Data Scientist Lead Consultant at Arity, you will develop and optimize machine learning algorithms to enhance the marketing platform using large datasets. Responsibilities include making key technical decisions, collaborating with cross-functional teams, and influencing business optimization strategies that drive revenue growth.
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The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.
As a Senior Data Scientist, you will develop and enhance software solutions for short-term rental hosts using machine learning and data analysis to improve decision making, optimize pricing, and enhance guest experiences. You'll collaborate with cross-functional teams to define product requirements and ensure effective delivery of insights-driven tools.
The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.
As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
The role involves managing and maintaining NoSQL distributed databases, primarily Cassandra, while also working with traditional databases. Responsibilities include deploying scalable clusters on cloud platforms, handling upgrades, backups, and performance tuning, and collaborating with teams to enhance database functionality and reliability.
As a Telematics Data Scientist at Tiger Analytics, you will leverage expertise in AI, machine learning, and geospatial technology to develop advanced analytics models and tools. Collaborating with cross-functional teams, you'll define technical problem statements, create efficient analytical models, and ensure their incorporation into data products to drive business value.
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