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Top Data Science Jobs in Little Rock,
As a Variant Scientist, you will classify somatic and germline variants, analyze molecular data using various software tools, interpret scientific literature, and generate high-quality clinical reports. You will also ensure quality control and may provide training for junior team members.
As a Data Scientist at RunPod, you will develop predictive models to understand user behavior, optimize conversions, forecast revenue, and collaborate with cross-functional teams to deliver data-driven insights that shape business strategy.
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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.
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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 Data Scientist will support USINDOPACOM by analyzing data requirements, developing algorithms and models, and visualizing data insights. Responsibilities include collaborating with directorates, ensuring data quality, developing a data strategy, and communicating findings to stakeholders.
The Senior Data Scientist will develop predictive models using machine learning and statistical methods on data collected from 3D sources, leveraging tools like Python and AWS. Responsibilities include preparing data, performing iterative solutions, and working collaboratively in a dynamic team.
The Senior Data Scientist will lead the design and development of personal auto insurance pricing models, drive feature engineering for telematics data, mentor junior data scientists, and collaborate across teams to translate models into real-world applications while advocating for data-driven strategies within the organization.
The Senior Data Scientist will drive complex projects focused on machine learning, providing insights, developing predictive models, and implementing innovative solutions for products. Responsibilities include building scalable ML infrastructure, collaborating with teams, and mentoring juniors while ensuring performance optimization and compliance with MLOps practices.
The Credit Analyst II conducts credit analysis to support portfolio management and business development, including financial statement analysis, risk evaluation, and preparation of credit approval requests, all while communicating with relevant teams to ensure comprehensive evaluations.
The Research Scientist will develop AI-driven biophysical simulation methods to enhance knowledge graphs, contribute to drug discovery, and present research findings to interdisciplinary teams. The role involves creating innovative simulation techniques to optimize biological insights and improve health outcomes on a large scale.
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