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The Data Scientist, Product Analytics will analyze user interactions with Peloton products, conduct A/B tests, define KPIs, and provide insights to inform product features. This role involves collaborating with cross-functional teams and understanding user engagement trends to enhance the user experience.
The Analyst will assist in technical and analytical assessments for insurance products, build statistical models, and collaborate with teams to develop data pipelines and solve business problems.
The Director of Data Science & Engineering leads the strategy for data science and engineering, overseeing data infrastructure, operationalizing data solutions, and ensuring compliance with data governance. This role focuses on building and mentoring a high-performing team and collaborating with various departments to improve healthcare outcomes by leveraging data effectively.
The Senior Manager of Data Science at Oscar leads a team of Data Scientists to enhance clinical operations through strategic analytics, performance measurement, and modeling. This role involves collaboration with stakeholders to improve member care, reduce costs, and automate processes while maintaining technical oversight and management responsibilities.
As a Data Scientist, you will deliver data science solutions for Risk Management within Asset Management, focusing on risk transparency, data integration, and stakeholder engagement. Responsibilities include managing projects, designing analytics solutions, and communicating findings to leadership. Your role supports continuous improvement of processes and technology adoption.
The Data Scientist II will empower the Chewy Customer Care teams through data solutions, focusing on the complete data science lifecycle. Key responsibilities include data preparation, exploratory analysis, feature engineering, machine learning model development, performance evaluation, and effective communication of insights to stakeholders.
The Manager of Marketing Data Science will define marketing analytics strategy, analyze data to optimize marketing efforts, ensure alignment with business goals, and provide insights on campaign performance. They will lead cross-team collaborations for media activations and act as a subject matter expert in attribution and media innovations.
In this role, you will develop and implement marketing analytics strategies, analyze complex data sets, and provide insights for optimizing marketing performance. You will also lead collaboration with various teams and ensure alignment with business objectives, acting as a subject matter expert in marketing attribution.
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The role involves partnering with data scientists, software engineers, and product managers to develop generative AI solutions for various applications like dialogue and text summarization. Responsibilities include building and validating machine learning models and translating technical complexity into business objectives.
As a Data Scientist at RunPod, you will develop predictive models, optimize user retention, and generate revenue forecasts. Collaborating with cross-functional teams, you will translate data insights into actionable business strategies.
The Data Science Manager at UMG will lead the analysis of music consumption trends by utilizing advanced analytics, data extraction, and statistical modeling. Responsibilities include creating tools for insights, using data from APIs and web scraping, and communicating findings effectively to various business teams.
As a Data Scientist II, you will be responsible for data acquisition and preparation, conducting exploratory data analysis, building and evaluating machine learning models, and communicating insights effectively to stakeholders. You'll work closely with cross-functional teams to translate business needs into data-driven solutions.
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As a Senior Data Scientist, you will analyze healthcare and financial data, applying data mining and statistical techniques to derive insights. You'll build and maintain models, collaborate with engineers and product teams, and present analytical findings to diverse audiences.
The Director of Data Science will lead a team to deliver data science solutions and manage projects related to big data analytics, AI, and machine learning. This role involves understanding client needs, overseeing a diverse team, and enabling the firm to achieve its growth in AI and ML services.
The Sr. Data Scientist, Artificial Intelligence will leverage data science and AI to enhance features for Cedar's healthcare technology platform. Key responsibilities include developing AI-powered solutions, creating curated datasets, and collaborating with engineering and product teams to impact patient experiences positively.
The Data Scientist/Sr Data Scientist will develop machine learning and AI solutions for the Small Commercial business at The Hartford, participating in the model lifecycle and collaborating with cross-functional teams to meet business objectives. Responsibilities include creating statistical models, assessing new data sources, and utilizing GenAI to improve efficiency.
As a Data Scientist II, you will assist in data collection, preparation, and analysis to support Chewy's Customer Care teams. You will develop and evaluate machine learning models, conduct statistical analyses, and communicate insights. This role involves collaboration with cross-functional teams to deliver data-driven solutions and enhance customer experiences.
The Staff Scientist in Data Science & AI at Helix will work on innovative healthcare projects, utilizing multi-modal data to develop models for patient care, improve healthcare outcomes, and integrate AI solutions into products. Responsibilities include leading research initiatives, designing solutions, and collaborating with diverse teams.
As a Manager, Data Scientist for the Application Fraud Team, you will develop machine learning models for fraud prevention, collaborate with cross-functional teams, and leverage technologies to analyze large data sets. The role requires translating complex data insights into actionable business strategies and enhancing customer experiences.
The Senior Principal Data Scientist - People Analytics will lead analytical projects within the People Insights team, translating stakeholder needs into actionable insights. The role emphasizes collaboration with various analysts and business leaders, mentorship, and the ability to present complex data in an understandable manner.
The Analyst in Actuarial and Data Science will support the development of actuarial and data science models, using advanced statistical analysis and machine learning techniques. The role involves consulting with clients, developing analytics-based tools, and collaborating with the Data Science team while delivering insights and presenting findings.
The Senior Data Scientist will drive innovative AI/ML capabilities and build data products for customer insights. Responsibilities include refining the product roadmap, analyzing member mental health journey data, and providing leadership in storytelling through data. The role requires close collaboration with customers and internal teams.
The Data Science Lead at SKIMS will lead the development of data science and AI/ML solutions for critical business processes, including demand forecasting and customer analytics. Responsibilities include building data products, ensuring high-quality data capture, and supporting organizational analytics competencies.
The Data Scientist will build predictive models to optimize lending decisions, analyze consumer risk behavior, and develop reporting dashboards. Responsibilities include A/B testing, collaborating with engineering teams, and communicating strategies to management.
The Principal Data Scientist will lead AI-powered product development, collaborating with data scientists and engineers. Responsibilities include model building, data analysis, and translating technical insights into business outcomes. They will work with diverse technologies to analyze vast data sets and innovate within the AI training team.
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