Top Data Science Jobs
Blue Current is seeking an experienced and talented Electrolyte Scientist to lead materials development of solid state electrolytes for high performance applications such as electric vehicles. Responsibilities include synthesizing and characterizing solid state ion transport materials, collaborating with teams, and managing complex projects. PhD or equivalent work experience in Chemistry, Materials Science, or Chemical Engineering is required with a minimum of 4 years experience in an industry R&D environment.
As a Senior Data Scientist/DBA at SELF ID, you will manage data infrastructure, ensure data integrity and security, and analyze complex datasets to derive insights. You'll collaborate with various teams to drive data-driven decisions and develop innovative solutions, working remotely on cutting-edge technologies.
As a Quantitative Scientist at Osmind, you will work with data to support innovative mental health treatments. You'll plan and execute research projects, contribute to real-world evidence, collaborate on research cohorts, conduct statistical analyses, and prepare presentations for scientific conferences, all aiming to advance mental health interventions.
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As a Data Scientist in Marketing Strategy & Insights, you will develop frameworks and tools for measuring marketing effectiveness, provide data-driven insights, model marketing performance, and recommend improvements by collaborating across teams, particularly in data science, marketing analytics, and finance.
As an Applied Scientist at DEFCON AI, you will drive the development and deployment of Reinforcement Learning models. Key responsibilities include designing and optimizing mathematical models, implementing RL algorithms, and communicating technical findings to stakeholders. Collaboration with multi-disciplinary teams is essential to address complex challenges in mobility and logistics operations.
Responsible for collecting, processing, and accurately entering data into systems. Analyze data, develop reports, and provide insights to support business decisions. Collaborate with teams to understand data needs and trends. Monitor KPIs and stay updated on data analysis best practices.
The Senior Data Scientist leads the design and development of AI solutions, evaluates algorithms, communicates insights, develops customized models, identifies data-driven opportunities, and maintains expertise in advanced technologies to meet business objectives and enhance productivity.
The Investment Analyst will focus on sourcing investment ideas, performing fundamental and relative value analysis, monitoring asset performance, and collaborating with portfolio managers to evaluate investment decisions in the high yield and stressed credit sectors.
The VP of Data Science will lead Vevo's data science team, developing strategies and overseeing machine learning and AI applications to improve business processes in advertising and media. The role involves project management, collaboration with various departments, and ensuring high-quality deliverables, while coaching and growing the team of data scientists.
The Senior Data Scientist at Waymo will develop evaluation frameworks for autonomous vehicle performance, analyze historical and simulation data using statistical methods and machine learning models, solve ambiguous problems, and mentor other data scientists. They will interpret trends and investigate data anomalies to enhance the Waymo Driver's operational capabilities.
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