Data Scientist
Develop and monitor production-ready data science and machine learning pipelines using R, Python, and SQL. Translate complex technical insights for executive stakeholders and design solutions leveraging Large Language Models.
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Develop and monitor production-ready data science and machine learning pipelines using R, Python, and SQL. Translate complex technical insights for executive stakeholders and design solutions leveraging Large Language Models.
The Data Scientist will apply advanced analytical, statistical, and machine learning techniques to analyze complex datasets and develop predictive models. They will collaborate with stakeholders to translate business requirements into actionable data-driven solutions.
The Data Scientist will build, deploy, and maintain predictive and prescriptive models to solve business challenges like customer churn and purchase propensity. They will also transform complex data into actionable insights and collaborate with cross-functional teams to integrate these models into BI products.
The Data Scientist will build, deploy, and maintain predictive and prescriptive models to solve business challenges like customer churn and purchase propensity. They will also transform complex data into actionable insights and collaborate with cross-functional teams to integrate these solutions into BI products.
The Data Scientist will collaborate with customers to identify data science needs and design machine learning, statistical, and data analysis solutions. They will also be responsible for developing visualizations, automating routine workflows, and ensuring the quality of model outputs.
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The Data Scientist will translate complex marketing data into actionable insights to optimize customer acquisition, retention, and media spend. They will design predictive models, execute hypothesis testing, and collaborate with cross-functional teams to drive evidence-based marketing strategies.
The Data Scientist will serve as an embedded analytics partner to product teams, designing experiments and building predictive models to drive business outcomes. They will also produce original research and cross-network benchmarks while converting recurring analyses into documented dashboards and pipelines.
The Data Scientist will develop and maintain data products, dashboards, and analytical models to support digital transformation across supply chain, quality, and finance operations. They will partner with stakeholders to translate business needs into actionable data solutions while ensuring data quality and governance.
Design, develop, and maintain AI models and algorithms while collaborating with cross-functional teams to deliver data-driven solutions. Ensure data quality and integrity throughout the AI development lifecycle while monitoring and troubleshooting AI systems.
Lead the design, development, and deployment of end-to-end analytical and machine learning solutions to drive business decisions. Partner with cross-functional stakeholders to frame business questions, build scalable data pipelines, and communicate actionable insights.
The Data Scientist will lead advanced research and predictive modeling to improve proprietary energy performance models using causal inference and anomaly detection. They will also serve as the primary technical liaison for external research partners and contribute to the dissemination of findings through white papers and publications.
You will be embedded in a core business unit to define analytical problems, build reports, and drive data-informed decision-making. You will own the analytical function end-to-end, from defining metrics and running experiments to presenting actionable recommendations to stakeholders.
The Data Scientist will apply statistical and mathematical methodologies to evaluate and execute program strategies for anti-trafficking and child-focused initiatives. They will also develop predictive models and maintain objective measures of impact to optimize organizational interventions.
You will develop sophisticated statistical models and causal inference approaches to uncover drivers of client outcomes and inform business strategy. Additionally, you will build scalable analytical capabilities and partner with cross-functional teams to translate complex data into actionable recommendations.
You will collaborate with data scientists and product teams to develop analytical models that improve product quality and risk outcomes. Additionally, you will apply statistical methods and machine learning techniques to uncover data-driven insights and document workflows for organizational knowledge sharing.
You will be embedded within a core business unit to define key metrics, conduct deep-dive analyses, and drive data-informed decision-making. You will own the analytical function end-to-end, from identifying business problems to delivering actionable recommendations to stakeholders.
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Design, implement, and optimize predictive and statistical models while managing automated data transformation and preprocessing workflows within MLOps frameworks. Communicate complex AI/ML methodologies and analytical findings to executive and technical stakeholders to drive actionable business recommendations.
The Data Scientist will design, develop, and maintain advanced data science solutions and machine learning models within Army Vantage and DoD platforms. They will also build automated data pipelines and analyze complex datasets to provide actionable insights for mission stakeholders.
The Data Scientist will provide analytical support by leveraging data mining tools and developing statistical models to drive business strategies. They are responsible for integrating data sources and presenting complex analytical concepts to upper management.
The Data Scientist will design and build rule-weighted composite scoring logic and model architectures for risk signals. They will also partner with engineering teams to productionize these models while ensuring explainability and auditability for stakeholders.
The Data Scientist will build and maintain data pipelines, features, and machine learning models within the Databricks platform to support marketing intelligence. They will also perform exploratory data analysis and collaborate with senior engineers to ensure model quality and effective deployment.
Develop and optimize machine learning models with a focus on time series forecasting and predictive analytics. Build and maintain data pipelines and warehouse solutions to support large-scale data integration and business intelligence initiatives.
Evaluate AI model outputs across statistics, machine learning, and quantitative reasoning to ensure high-quality performance. Create expert-level prompts, datasets, and reference solutions while providing structured feedback to improve model capabilities.
The Data Scientist develops, evaluates, and monitors predictive and generative AI systems to automate clinical documentation and revenue cycle workflows. They are responsible for building ground truth datasets, defining evaluation metrics, and partnering with AI Engineering to deploy validated models into production.
The Data Scientist will develop ML/AI models using clinical and social determinants data to improve patient outcomes for children with special needs. They will collaborate with cross-functional teams to define requirements, optimize data collection, and deliver actionable insights to business stakeholders.
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The Data Scientist will develop and deploy predictive algorithms and production pipelines to analyze automotive industry data. They will collaborate with engineering teams to optimize ETL processes and create visual reports to communicate findings to stakeholders.
The Data Scientist will develop and optimize models to transform 3D body scan data into accurate anthropometric and health metrics. They will collaborate with software engineers to deploy these models into production environments and conduct performance reporting.
Develop and implement models and algorithms for the detection, attribution, and quantification of trace gases using sensor data. Collaborate with engineering and product teams to integrate research-stage models into the company's production cloud platform.
The Data Scientist will design machine learning models and predictive analytics to identify trends and patterns within large datasets. They are responsible for preprocessing data, automating collection processes, and presenting actionable insights to business stakeholders.
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