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Serve as the primary technical leader for strategic accounts, translating complex business needs into production-ready data science solutions. Drive customer outcomes through hands-on execution, iterative delivery, and senior stakeholder influence.
Oversee the full lifecycle of data science solutions, from data acquisition and formatting to deploying scalable production models. Collaborate with multidisciplinary teams and customers to drive evidence-based business decisions and provide technical coaching to partners.
Lead the design and delivery of high-impact decision science systems including forecasting, optimization, and recommendation engines. Establish modeling standards and mentor senior and mid-level data scientists to build the organization's decision science function.
The role focuses on ensuring the scientific coherence of a multimodal data platform by bridging molecular science and data engineering. Key duties include prototyping data offerings, translating client research objectives into data strategies, and providing subject matter expertise in oncology, neurology, and immunology.
Develop data infrastructure and production-ready models to accelerate the investment process for hedge funds and family offices. Partner with investment teams to turn large datasets into actionable insights and build portfolio company dashboards.
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Lead the strategic direction of ads identity, measurement, and signal quality to improve advertiser experience and bidding efficiency. Design probabilistic models for identity resolution and develop rigorous statistical frameworks for brand and conversion lift products.
Lead the scientific strategy for Reddit's ads measurement and signal systems to prove advertiser value and improve signal quality. Architect technical visions for privacy-aware measurement, incrementality, and causal inference models at scale.
Lead data science and analytical modeling to support health economics and real-world evidence research using administrative claims and EHR data. Manage the end-to-end research process, from protocol review and cohort validation to generating actionable insights for clients.
Drive long-term customer success by translating business objectives into actionable technical success plans and analytical deliverables. Act as a trusted advisor to clients, leveraging AI and machine learning to grow their analytical capabilities.
Lead the experimentation engine and analytics strategy for a high-growth business segment to drive performance and investment decisions. Build reporting backbones and provide driver-based insights on revenue and margin performance to executive leadership.
Analyze large-scale educational data to derive actionable insights that inform product strategy and improve customer experience. Collaborate with cross-functional teams to develop statistical models and AI-enabled analytical solutions.
Design, train, and validate machine learning and deep learning models for clustering, classification, and anomaly detection. Integrate these models into production pipelines and collaborate on cloud-based proofs of concept and technical documentation.
Design and execute data science experiments to develop and maintain state-of-the-art machine learning models for tabular and time-series data. Perform deep-dive data analysis to provide actionable business insights and collaborate with cross-functional teams to align projects with company goals.
Develop analytical frameworks and data models to support Medicaid quality analytics and value-based care programs. Collaborate with cross-functional stakeholders to translate complex requirements into actionable insights and strategic recommendations.
Develop and deploy production LLM/ML models to automate evaluation processes and personalize customer support experiences. Collaborate with cross-functional teams to translate business problems into scientific formulations and drive data-driven decision-making.
Design and implement causal inference frameworks and ML models to measure the impact of product launches and optimize operational budgets. Collaborate with cross-functional teams to deliver strategic insights on quality-cost tradeoffs for community support.
Develop and enhance machine learning models to process terabytes of data for real-time ad requests. Collaborate with engineering teams to deploy scalable algorithms and conduct A/B tests to optimize the value chain.
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Develop and implement commercially viable AI/ML and GenAI solutions for healthcare, insurance, and life sciences markets. Collaborate with product and business development teams to enhance existing products and drive data science best practices.
Support Army logistics enterprise data management through governance, quality control, and data modeling. Develop executive-level briefings, dashboards, and analytical products to support leadership decision-making.
The role involves analyzing business performance and consumer behavior to define KPIs and identify trends. You will partner with business leaders to translate data findings into actionable recommendations that shape consumer strategy.
Lead the technical strategy and execution of the AI/ML intelligence layer and data engineering backbone to improve student retention and enrollment. Design, deploy, and monitor predictive models and scalable data pipelines while coordinating across Product, Engineering, and CX teams.
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