Senior Data Scientist (Credit)
Develop and deploy credit scoring and behavioural models to support underwriting and pricing. Collaborate with product teams to embed decision logic into real-time systems and ensure data quality across all processes.
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Develop and deploy credit scoring and behavioural models to support underwriting and pricing. Collaborate with product teams to embed decision logic into real-time systems and ensure data quality across all processes.
As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by solving product and business challenges. You will work closely with various teams to understand product usage patterns and make data-driven decisions.
As a Senior Full Stack Data Scientist, you will partner with Product Management and Engineering to shape feature roadmaps and design metrics to evaluate success. You will build scalable analytics frameworks to uncover usage patterns and improve customer experience.
The data scientist will define problems for ad delivery optimization and design KPIs/metrics, while also engaging in data preprocessing, modeling, and online deployment. They will collaborate with internal stakeholders to support decision-making and ensure continuous improvement of ad serving algorithms.
Model and analyze regulatory impact while supporting the development of statistical models and machine learning algorithms. Assist in data collection and preparation for economic analysis, and generate visualizations to convey research findings.
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Collaborate with data scientists and subject matter experts to build and optimize data pipelines for industrial AI and ML-Ops solutions. Ensure data integrity, cleanliness, and reliability while tracking performance metrics for 24/7 operational systems.
The Research Scientist III analyzes emergency response data to develop models and findings that support fire safety science. They are responsible for creating data visualizations, written reports, and reusable data products to enhance the Fire Safety Research Institute's thought leadership.
The support scientist will develop, test, and evaluate atmospheric data assimilation components for the Unified Forecast System. They will also assist in transitioning observation modeling, quality control, and bias correction to the JEDI infrastructure.
Lead strategic AI and data science initiatives to drive enterprise AI adoption and data readiness. Design and implement advanced analytical solutions, including LLM-based tools and machine learning models, to translate business needs into scalable insights.
The Senior Data & Applied Scientist will own product analytics and insights to drive strategy for Microsoft skilling experiences. They will design measurement frameworks, conduct causal analyses, and partner with cross-functional teams to improve learner proficiency and engagement.
The contractor will establish and maintain metadata governance frameworks to ensure compliance with DoD data management policies and interoperability. They will also develop automated metadata tagging processes and manage data governance workflows to improve data discoverability and lineage tracking.
The Data Governance & Metadata Scientist will establish and maintain metadata governance frameworks to ensure compliance with DoD policies and interoperability. They will also develop automated metadata tagging processes and manage workflows to improve data discoverability and lineage tracking within the Common Intelligence Picture platform.
The Decision Scientist will activate clinical data repositories by building feature stores, documentation, and reusable data assets to support analytics and AI products. They will act as a bridge between clinical data assets and stakeholders, ensuring data is well-documented, compliant with regulatory standards, and fit for purpose.
The role involves serving as the scientific business owner for digital tools and data domains supporting molecular cloning and construct design. You will translate complex scientific needs into clear product priorities and system requirements while partnering with technology teams to implement scalable digital capabilities.
Establish and maintain metadata governance frameworks and automated tagging processes to enhance data discoverability and interoperability for a DoD customer. Manage data governance workflows and submit compliance reports detailing lineage tracking and security enhancements.
Establish and maintain metadata governance frameworks to ensure compliance with DoD policies and interoperability. Develop automated tagging processes and manage data governance workflows within the Common Intelligence Picture platform.
The Senior Scientist will lead the analytical pipeline for toxicology studies, including auditing regulatory SEND datasets and creating complex data visualizations. They will also serve as a strategic liaison between internal toxicology teams and project development groups to inform safety strategies and secure governance endorsements.
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Develop and maintain advanced atmospheric modeling systems within MPAS and WRF frameworks to improve fire, smoke, and aerosol predictions. Conduct research using high-performance computing to integrate satellite and in-situ observations into ensemble-based data assimilation workflows.
Develop systematic data-transformation modules to clean and structure raw datasets while collaborating with SMEs to improve annotation workflows. Build scalable data-processing solutions and train or fine-tune ML models to resolve complex natural resource and energy challenges.
Validate analytical chemistry data from subcontract laboratories to ensure compliance with EPA, DOE, and DOD standards. Prepare comprehensive data validation reports and manage project workloads to meet client deadlines.
Review analytical chemistry data from subcontract laboratories to ensure compliance with EPA, DOE, and DOD guidelines. Prepare comprehensive data validation reports and manage project workloads to meet client deadlines.
Develop new algorithm-based features for the company's marketing measurement and optimization platform. Perform diagnostics and root-cause analysis while collaborating with engineering teams to implement solutions.
Analyze user behavior and engagement trends to drive data-driven decision-making across the organization. Develop and deploy machine learning models and LLM workflows while building scalable data infrastructure and integrated datasets.
The role involves performing large-scale data analysis and developing machine learning models to drive data-driven decision-making. You will collaborate with cross-functional teams to build data infrastructure and apply LLMs to real-world workflows.
Design and execute analyses using Medicare and Medicaid claims data to inform policy, pricing, and patient access decisions. Lead the development of deliverables and manage data analysts to ensure quality assurance of programs and analyses.
The Senior Data Scientist will design and execute analyses of healthcare claims data to generate real-world evidence supporting health economics and market access initiatives. They will collaborate with internal teams and client stakeholders to align evidence generation strategies with business goals.
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The Data Scientist will explore data to identify trends and evaluate campaign performance while designing and optimizing algorithms for CPA optimization. They will also collaborate with product teams to translate technical solutions into measurable business impacts.
The role involves leveraging advanced analytics techniques to extract insights from large datasets and support clients in solving complex business problems. You will also manage client relationships and guide teams in delivering quality solutions.
Establish and maintain metadata governance frameworks and automated tagging processes to enhance data discoverability and interoperability for a DoD customer. Manage data governance workflows and submit compliance reports detailing lineage tracking and security enhancements.
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