Data Scientist
Evaluate and red-team AI-generated data analyses to ensure statistical rigor and sound methodology. Build, train, and evaluate machine learning models while documenting assumptions and collaborating with cross-functional teams.
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Evaluate and red-team AI-generated data analyses to ensure statistical rigor and sound methodology. Build, train, and evaluate machine learning models while documenting assumptions and collaborating with cross-functional teams.
The Data Scientist will research and develop algorithms to detect bots and fight fraud while partnering with cross-functional teams to optimize ML infrastructure. They will also contribute to software tooling and automation to improve detection capabilities and maintain codebase health.
You will partner with AI research teams to design data collection workflows and implement quality controls for model training. Additionally, you will run experiments to improve model performance, safety, and alignment with human values.
You will scale incrementality and measurement products by translating complex marketing questions into data science solutions for customers. This involves analyzing model results, building diagnostic tools, and acting as a technical partner to communicate actionable insights to stakeholders.
The Data Scientist will leverage advanced analytics, machine learning, and statistical techniques to support public health outbreak response, surveillance, and preparedness. They will develop data analysis tools, predictive models, and interactive dashboards to inform strategic public health decisions.
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You will collect, process, and analyze complex datasets to generate actionable business insights using Python and SQL. Additionally, you will develop and deploy machine learning models while collaborating with cross-functional teams to deliver data-driven solutions.
The Data Scientist will transform complex datasets into actionable business insights by developing advanced predictive and prescriptive models. They will collaborate with cross-functional teams to deploy machine learning solutions and promote data-driven decision-making across the organization.
Build and implement artificial intelligence and machine learning models to solve complex business problems and drive strategic decisions. Partner with cross-functional teams to maintain data science solutions and communicate modeling results to stakeholders.
Develop and maintain forecasting, predictive analytics, statistical, and machine learning solutions, dashboards, and analytical tools to improve planning performance and business outcomes. Analyze complex datasets and business drivers, improve forecast accuracy, and partner with cross-functional stakeholders to deliver analytical projects from discovery through deployment and adoption.
The Data Scientist will analyze plant, finance, and retail data to create actionable insights, reports, and automated tools. They will collaborate with cross-functional teams to define metrics, investigate data quality issues, and present findings to leadership.
You will partner with cross-functional teams to turn ambiguous business questions into rigorous analyses, models, and experiments. You will own the end-to-end process from framing questions to landing actionable recommendations with leadership.
Collaborate with cross-functional teams to define metrics, design experiments, and build analytical frameworks that inform strategic business decisions. Develop tools and datasets while owning complex data projects end-to-end to drive product and business impact.
You will own the design, development, and maintenance of the data platform, including data warehouses and real-time pipelines. You will also collaborate with cross-functional teams to build scalable frameworks that support AI/ML data products and business decision-making.
The Data Scientist will build and deploy machine learning models into production to power real-time product features and personalization. They will also establish low-latency infrastructure on GCP and partner with engineering to ensure models are scalable and measurable.
Develops and deploys machine learning and predictive analytics solutions to drive business outcomes and member value. Partners with cross-functional teams to manage complex data, build data products, and communicate actionable insights to stakeholders.
Design, build, and maintain scalable data pipelines and analytical workflows to transform complex datasets into actionable insights. Collaborate with cross-functional teams to automate data ingestion, enforce quality controls, and deliver decision-support artifacts.
You will design and implement technical data solutions while partnering with cross-functional teams to translate business requirements into actionable insights. Additionally, you will manage project priorities and communicate complex findings to both technical and non-technical stakeholders.
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The contractor will prototype and validate new analytical methods and LLM applications to support digital intelligence tools for campaigns. They will also engineer validated methods into modular, well-documented production pipelines while collaborating with the R&D team.
You will develop production data science applications in Python and design new AI services from scratch. Additionally, you will maintain data science pipelines and collaborate with R&D and DevOps teams to adapt machine learning algorithms for business needs.
The Data Scientist is responsible for the end-to-end process of analyzing data, including collecting, cleaning, and preprocessing datasets to build predictive models. They will collaborate with cross-functional teams to implement data-driven solutions and translate complex findings into actionable business insights.
Develop predictive and statistical models, including customer segmentation and clustering, to support data-driven decisions and improve customer profitability and retention. Analyze customer behavior across online and offline channels, maintain and validate analytical products, process data using SQL and R, and ensure the consistency and quality of information sources.
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The Data Scientist will facilitate clinical database development, including eCRF planning, user acceptance testing, and the management of external data sources. They are also responsible for overseeing study budgets, ensuring data quality, and leading communications within the clinical data team.
The Data Scientist will facilitate clinical database development and manage the collection, receipt, and reporting of quality clinical trial data. They will also lead communications with data team members and oversee study budgets and risk assessments throughout the study lifecycle.
Design and implement advanced statistical and machine learning models to solve complex business challenges. Collaborate with cross-functional teams to translate analytical findings into actionable insights for stakeholders.
The Data Scientist will design and develop data-driven solutions by analyzing complex datasets and building statistical and machine learning models. They will collaborate with stakeholders to translate business challenges into actionable insights and communicate findings through reports and visualizations.
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