Top Data Science Jobs
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Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
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The Data Science Manager will lead a team of Data Analysts within the P&L management team at Lyft, focusing on managing the profit and loss for the Rideshare business. Responsibilities include mentoring the team, analyzing business problems using data analytics, collaborating with Data Scientists and Engineers, and presenting insights to senior leadership to influence investment strategies.
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.
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.
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.
Featured Jobs
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.
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.
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 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.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
As a Data Scientist at Adobe, you will prioritize and lead analytics initiatives, develop machine learning strategies, collaborate with product and marketing teams, conduct A/B experiments, and foster a data-driven culture to inform product roadmaps and business strategies.
The Data Science Manager will leverage advanced analytics to uncover trends in music consumption, create analytical tools and models, and communicate insights to marketing and commercial teams. Responsibilities include data extraction and analysis using various methods, solving business questions, and collaborating with cross-functional teams.
As a Data Scientist/Senior Data Scientist at Wisetack, you will drive data-driven decision-making in areas such as credit risk and fraud. Responsibilities include designing and deploying predictive models, conducting analyses, and collaborating with teams to integrate solutions into products, ultimately aiming to enhance consumer lending products.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
As a Senior Data Scientist at Instacart, you'll own analytical frameworks to guide product development, design experiments, build statistical models, and create simulations for product interventions. You'll be a strategic partner in driving data-driven decision-making and influencing product usability improvements.
As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.
The Data Science Manager will lead and mentor a team of data scientists, develop and implement data science strategies, manage day-to-day operations, and ensure project delivery. They will conduct data analysis and modeling, communicate insights, and collaborate with various departments to drive business growth through data science initiatives.
As a Sr. Manager of Data Science in Marketing, you will develop strategies for integrating data science into marketing, optimize budget allocations through media mix modeling, and enhance targeting strategies using advanced analytics. You will lead a team, drive innovation, and collaboratively improve business outcomes through data-driven insights.
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