Top Data Science Jobs
As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to drive insights from large datasets, develop AI solutions, and collaborate with clients on their business challenges. Your responsibilities will include building analytical models, document business processes for AI opportunities, and managing data interpretation to inform decisions.
As a Data Science Analyst, you will leverage data to drive strategic decisions while developing the Narrative Analytics offering. Responsibilities include utilizing machine learning techniques, conducting data analysis, and collaborating with teams to create narrative-driven data sets that meet customer needs.
Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.
As a Senior Associate in Data Science at PwC, you will leverage advanced analytical techniques to extract insights from large datasets. Your responsibilities include developing AI/GenAI solutions, collaborative problem-solving with clients, and managing data engineering tasks to optimize business operations.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
The Senior Manager for Data Science will lead and develop machine learning capabilities within the Platform Security team at Blizzard Entertainment. Responsibilities include managing a team of data scientists, developing AI products, collaborating with engineers, and communicating complex models to both technical and non-technical stakeholders. A focus on player interactions and safety within the gaming community is crucial.
As a Sr. Data Scientist, you will utilize interdisciplinary approaches to extract meaning from large datasets, develop data models, and communicate findings while collaborating with teams to address complex analytic questions. You will also be responsible for translating technical requirements and making informed recommendations regarding technical solutions.
The Data Science Manager - Procurement leads advanced analytics initiatives to improve procurement efficiency and decision-making. Responsibilities include developing analytics programs, aligning risk management strategies with business objectives, integrating AI technologies, and fostering a culture of innovation and collaboration within the team.
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As a member of the Data Science and Analytics team, you'll analyze user behavior data, define product success metrics, identify product improvement opportunities, and build a data-driven culture to inform product strategy and commercial growth.
The role involves driving the data science and analytics initiatives by partnering with go-to-market leaders to define KPIs, analyze customer behavior, and build a data-driven culture in a rapidly growing AI organization.
The SME Functional Lead for Data Science will design and deliver training programs focused on computational thinking, programming, statistics, and data visualization. They will provide expert training in machine learning and oversee the development of training programs to enhance data science skills across NGA and the Intelligence Community.
The Data Science and AI Manager will lead the development of advanced analytics solutions utilizing NLP and AI to enhance healthcare operations and patient care. This role includes mentoring a team, delivering complex data science projects, and collaborating with various departments to drive data-driven solutions. Responsibilities also involve predictive modeling, data analysis, and ensuring compliance with data regulations.
The Data Scientist will develop and manage dashboards to provide insights into Cargomatic's financial performance, conduct financial data analyses, and collaborate with different teams to support decision-making. Responsibilities include dashboard development, data analysis, cross-functional collaboration, and predictive modeling.
Join Glean's world-class Data Organization as a Data Scientist based in Palo Alto. Collaborate with cross-functional teams to define data assets, improve KPIs, and maintain quantitative frameworks. Address business domains related to product-led user growth strategies and generative AI products.
The Senior Associate will drive data-driven transformation strategies, function as part of a data science team on AI and machine learning initiatives, and solve complex business challenges through data manipulation, modeling, and predictive analysis. The role also involves building scalable data pipelines, documenting work, and mentoring talent.
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The Director, Data Science leads a data science team to leverage customer and campaign data for actionable insights, algorithms, and solutions in marketing. Responsibilities include applying machine learning techniques, data engineering, managing client projects, and building a team of data scientists.
As a Data Scientist at HUMAN, you will partner with various teams to enhance bot detection, develop statistical detection techniques, lead projects, and contribute to the Data Science culture and standards within the company.
The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.
Lead a team of data scientists in delivering advanced statistical techniques and machine learning solutions for underwriting and operations. Collaborate with partners to drive analytics into products, enhancing decision-making and improving business outcomes. Present insights to executives and influence strategic decisions, while also guiding team development and recruitment efforts.
As a member of the Data Science Center of Excellence, the manager will develop statistical modeling techniques, enhance data science capabilities, guide vendors, collaborate with stakeholders, and communicate insights to ensure robust modeling outputs and informed decision-making across the business.
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The Senior Manager I, Data Science and Analytics will lead a team to deliver analytics services for healthcare.gov communications. This role includes mentorship, project design and evaluation, ensuring quality of analytical products, and providing strategic insights based on data findings.
As a Senior Data Science Consultant, you'll collaborate with clients to understand their data needs, analyze large datasets, and build predictive models. You'll also contribute to internal Data Science projects and communicate insights through various mediums while proposing strategic solutions to business challenges.
As a Data Science Consultant, you will support business operations through data analysis and presentations. You'll manipulate datasets to drive analytics and collaborate with stakeholders to provide data-driven recommendations and solutions. Strong communication and collaboration skills are essential to succeed in this role.
The Data Science Senior Advisor role involves utilizing data science and advanced analytics to provide insights for business leaders, collaborating on pilots for new solutions, and developing models in areas ranging from general linear models to machine learning. The position requires regular communication with stakeholders and a strong background in analytics within the insurance industry.
The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.
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