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Top Senior Level Data Science Jobs in Dallas, TX
The Data Science Lead Analyst will evaluate generative AI applications for compliance with fair lending regulations. Responsibilities include designing and maintaining compliance programs, developing methodologies for evaluating AI applications, and collaborating across departments to address compliance issues. The role also involves statistical analysis and assisting with regulatory inquiries.
In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.
The Senior Analyst, Credit Ratings will manage the company’s relationships with credit rating agencies and lead the ratings process, focusing on maintaining optimal credit ratings by presenting financial metrics and strategies effectively.
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The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.
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.
As a Staff Applied Research Scientist, you will oversee the research process, collaborate with your team, contribute to the design of research roadmaps, and train other members while solving complex problems in media creation using deep learning techniques.
The Manager of Data Science & Analytics will oversee a team focused on developing healthcare data products and predictive models to support medication management initiatives. Responsibilities include leading data teams, enhancing data operations, ensuring data quality, and presenting actionable insights to improve compliance and efficiency for healthcare clients.
The Senior Data Scientist will lead data science initiatives, create data pipelines, analyze runner behavior data, develop analytical models, and collaborate across teams to inform product development. This role involves translating complex data into insights, managing projects, and ensuring data quality and accessibility for the Run Research team.
The Senior Data Scientist will engage in Generative AI initiatives, leveraging advanced machine learning techniques and large language models to build applications. Responsibilities include data collection, analysis, reporting, and influencing strategic business decisions based on complex data evaluation.
This position involves designing, fabricating, and testing electrochemical in-dwelling analytical sensors, including analyzing results, advancing in-vivo testing, and ensuring protection of intellectual property. The role also includes troubleshooting design problems and guiding documentation for testing protocols.
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