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The Senior Data Scientist at TransUnion will develop analytic solutions for clients in the credit, fraud, insurance, and marketing sectors. Responsibilities include leading client engagements, creating predictive models, consulting with internal teams, delivering analysis and insights, and mentoring junior staff.
The Senior Manager of Checkout Analytics will drive data-driven decision-making by generating insights from large datasets, collaborating with product managers, creating executive-facing dashboards, and mentoring team members. The role involves analyzing merchant product performance, synthesizing data to provide recommendations, and guiding best practices for analytics instrumentation.
The Data Science Manager will lead the development of modelling and simulation techniques for innovative Industry 4.0 solutions, collaborate with stakeholders on project opportunities, build R&D platforms, and manage project workflows while providing actionable insights based on advanced analytics.
As a Principal Associate Data Scientist, you will design and implement machine learning models, collaboratively work with cross-functional teams, and leverage various technologies to analyze extensive data. You will contribute to developing tools and processes for statistical modeling and data analysis to improve credit card services.
As a Senior Data Scientist at Atlassian, you will analyze data to drive insights about products and customers, collaborate with cross-functional teams, and develop strategies based on quantitative analysis. Your role will include crafting persuasive content, measuring product success through metrics, and influencing product roadmaps.
The VP of Data Science & ML at LendingClub will lead the Modeling function across the enterprise, focusing on strategic direction for statistical model development, managing existing models, and enhancing AI/ML implementations. Responsibilities include collaborating with various teams, ensuring effective model validation for credit issuance, and communicating insights with senior leadership.
The Data Science Senior Manager will lead the Lingo Data Science team at Abbott, managing a team of data scientists to build biowearable technologies. The role involves developing machine learning models, managing large data sets, conducting statistical analysis, and collaborating with stakeholders.
As a Senior Data Scientist at Instacart, you will own analytical frameworks, design and interpret experiments, develop statistical models, and build simulations. You'll work closely with product teams to drive insights into product usability and inform improvements, while democratizing data across the organization to enable objective decision-making.
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Manage a team of data scientists and machine learning engineers to develop AI products that enhance business performance and operations. Translate data findings for business strategy and decision-making. Lead the implementation of data strategies and ensure robust data architecture and management while fostering team development.
The Principal Associate, Data Scientist will design and implement innovative machine learning models to enhance credit card solutions at Capital One. They will collaborate with data engineers and product managers, leverage advanced technologies for data analysis, and continuously research and evaluate emerging methods.
The Data Science Consultant will collaborate with stakeholders to solve business problems using analytics. Responsibilities include data manipulation, dataset preparation for analysis, communicating insights, and managing multiple projects while ensuring data quality and integrity.
As a Data Scientist at Capital One, you will develop machine learning models for credit card data analysis, collaborating with teams to innovate and enhance delivery. You will leverage advanced technologies to extract insights from large datasets and improve financial solutions for customers.
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The Data Scientist at Square Point of Sale will leverage statistical, machine learning, and data engineering techniques to inform decision-making for a unified point of sale product. Responsibilities include collaborating with cross-functional teams, applying diverse data techniques, communicating insights, and resource development for data access.
The Sales Data Analyst at Mars Snacking will gather and manage data requirements for various business initiatives, ensuring data readiness and quality. Responsibilities include collaborating with technical teams, analyzing and optimizing data usage, and supporting AI and analytics deployment for sales functions. They will work cross-functionally to drive data literacy and usage across markets.
As a Data Scientist at Clay, you will own full-funnel insights and drive strategic decision-making through data analyses. Your responsibilities include setting up data infrastructure, empowering teams with self-serve analytics, and experimenting with data to test hypotheses. Additionally, you'll translate complex findings into actionable insights for stakeholders.
As a Data Scientist, you will train and customize large language models across multiple modalities and partner with teams to deliver AI-driven products. Responsibilities include developing machine learning models and contributing to NLP research. The role requires innovative and technical creativity along with statistical modeling experience.
The VP, Analytics will lead the analytics strategy at Honest Health, ensuring effective data insights across business functions, supporting timely decision-making, and optimizing healthcare data analysis. This role involves collaboration with various departments to deliver actionable insights and build a high-performing analytics team.
As a Principal Associate Data Scientist, you will leverage your technical skills to build generative AI systems, utilizing large datasets to develop machine learning models. You will work with a cross-functional team to translate complex data insights into actionable business strategies and enhance customer experiences through data-driven solutions.
The Senior Data Consultant will manage contract execution and provide expert consulting for the Hydropower Electricity Program. Responsibilities include data analytics, business process support, and strategic plan implementation while ensuring compliance with technical and financial requirements.
As Head of Data Science, you will lead data science initiatives and manage a team of data scientists. You will apply advanced analytical methods to large datasets, deliver data-driven insights, and collaborate with product managers and engineering teams to improve products and customer experience.
The AI Solution Manager/Senior AI Solution Manager at C3.ai leads product development and business development in AI/ML, collaborating with customers to identify use cases and overseeing cross-functional teams to build and configure solutions. Responsibilities include collaborating with Fortune 500 clients, managing projects, and driving complex solution deliveries.
The Software Data Science and Analytics Engineer will analyze data to drive process efficiency and support decision-making regarding global project sourcing. Responsibilities include database development, data analysis, dashboard creation, and engagement with cross-functional teams to improve data accuracy and support business decisions.
The Data Science Sr Lead Analyst at Citi is responsible for leveraging machine learning and artificial intelligence techniques to extract value from data and deploy solutions to production. The ideal candidate should be proficient in Python and passionate about staying up to date with the latest developments in AI and large language models.
The Data Scientist will enhance CoreWeave's product databases, perform demand forecasts, and develop analytic solutions. They will maintain data integrity, visualize metrics, and collaborate across teams to assess trends and ensure capacity planning meets business needs.
As a Data Science Analyst at Tiger Analytics, you will leverage advanced analytics and machine learning techniques to identify fraudulent activities and enhance fraud prevention models. Your responsibilities will include analyzing large datasets, developing predictive models, and collaborating with stakeholders to align fraud-related metrics with business objectives.
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