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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.
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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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As the Senior Data Science Manager, you'll lead a team of data scientists in the Advertising/AdTech sector, driving the Data Science strategy and developing productized models to inform decision-making. You'll collaborate with cross-functional partners and uncover new business opportunities through data analysis and metric development.
The Data Scientist will support cloud services by analyzing cloud vendor performance, cloud service consumption metrics, and apply analytic methods using programming and visualization tools. The position requires collaboration with teams and effective communication of complex data findings.
The Senior Manager of Data Science will oversee a team in developing and deploying data science applications, focusing on Gen AI for analytics in the finance department of Walmart. Responsibilities include building models, managing projects, and maintaining communication with various teams to drive execution and innovation.
The Data Science Consultant will design solutions using Databricks, develop data models and reports, and coordinate with stakeholders to meet business requirements. The role also involves building modifications to existing models and defining test cases while working independently and promoting knowledge sharing.
Senior Research Engineers at Citadel Securities are responsible for curating large-scale structured and unstructured data, translating high-level queries into efficient back-end processes, and developing custom data pipelines. They collaborate with researchers to produce valuable datasets, set up analytical infrastructure, and develop tooling for monitoring data flow while ensuring data integrity and performance.
The role involves applying knowledge of statistics and probability, conducting user research, and leveraging data analytics and data science skills to contribute to game development. Experience with simulation or live service games is preferred but not required.
The Principal Scientist in Bioinformatics Data Science at Dyne Therapeutics will lead data analytics to accelerate R&D programs. Responsibilities include developing computational methods for analyzing genetic and omics data, employing AI and machine learning techniques, and collaborating with biology and platform development teams to enhance therapeutic opportunities.
The SVP of Data Science will lead the vision and execution of data science initiatives, oversee a multidisciplinary team, and ensure top-notch measurement capabilities. Responsibilities include strategy development, team management, project oversight, collaboration across departments, and the advancement of measurement methodologies utilizing AI and emerging technologies.
Leading and collaborating on the engineering design, development, and deployment of features and projects. Responsible for writing clean, reusable code, improving code structure for maintainability, and solving problems in collaboration with colleagues and clients.
The Data Science Executive will leverage AI and machine learning to enhance efficiency and effectiveness in testing and develop NLP solutions for risk management. Responsibilities include leading data science teams, applying advanced analytics techniques, and collaborating with business partners to drive business insights and optimize operations.
The Rotational Analyst in Enterprise Data Science at Webster Bank participates in an 18-month program involving challenging assignments in data analytics, engineering, and customer insights using machine learning. The role emphasizes skill development, mentorship, and exposure to senior leadership, tailored for recent graduates interested in banking data science applications.
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.
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