Top Hybrid Data Science Jobs
The Microelectronics Failure Analysis Scientist will perform research and analysis on microelectronic devices used in space systems. Responsibilities include technical support to national security space programs, conducting failure analysis using advanced techniques, and presenting research findings. The role demands expertise in physics of failure and hardware security.
The X-ray Imaging Scientist at Aerospace Corporation will perform characterization of aerospace parts using X-ray techniques to identify failures and enhance device reliability. Responsibilities include data collection, technical support for national security programs, and conducting innovative research in X-ray imaging. Strong communication and teamwork skills are essential.
As a Composites Research Scientist at Aerospace, you will lead R&D for composite materials, optimize manufacturing processes, conduct investigations into materials failures, and develop novel applications for space technologies while collaborating with various stakeholders.
The Decision Scientist position at The Walt Disney Company involves creating innovative mathematical models to inform business decision-making through data. Responsibilities include developing decision science models, pursuing innovation, building algorithms, and analyzing revenue management issues using mathematical and statistical techniques. Must exhibit competence in statistics, optimization, econometrics, and machine learning, along with strong computing skills. Advanced knowledge of revenue management context is a plus. A Master's degree and at least 1 year of experience or a Ph.D. in Statistics is required.
As an Applied AI Scientist at ZS, you will develop advanced algorithms for data analysis, execute statistical techniques, evaluate emerging datasets, and contribute to thought leadership by researching and publishing on relevant topics.
As an Applied AI Scientist at ZS, you'll develop advanced algorithms to solve complex problems, execute statistical techniques on large data sets to extract trends, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership through research and publications.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.
Featured Jobs
The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.
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Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.
The Senior Credit Risk Analyst will leverage advanced data analytics to optimize credit strategies, develop evaluation frameworks for the credit ecosystem, assist in product pricing strategy, run A/B tests, and collaborate with various teams to enhance credit portfolio performance.
The Lead Data Scientist at Cox Communications will design and implement advanced analytics, manage data pipelines, conduct statistical analyses, and lead a team of data scientists. Key responsibilities include developing machine learning applications, optimizing data flows, and integrating new technologies to enhance data capabilities.
The Lead Data Scientist at Cox Communications will design and implement advanced analytics solutions, manage data scientists, develop data pipelines, and conduct statistical analyses to enhance data-driven decision-making and automate ML workflows.
The Lead Data Scientist at Cox Communications will design and implement advanced analytics, manage third-party data scientists, develop data pipelines for ML/AI workflows, conduct statistical analyses, and guide junior members while improving data processing efficiency and integrating new technologies.
As a Senior Scientist in GPCR Pharmacology at Pfizer, you will lead in vitro studies to explore molecular pharmacology and develop novel therapeutic targets related to metabolic diseases. You will engage in research collaboration, mentoring junior scientists, and advancing drug discovery efforts through innovative strategies and scientific findings.
Develop and implement custom GenAI models for various supply chain challenges, manage large datasets, train and evaluate models, deploy models into existing systems, collaborate with cross-functional teams, stay updated on GenAI technologies, and contribute to research and development.
The role involves leveraging advanced analytics to extract insights from large datasets, leading teams in AI and GenAI solution development, managing project execution, mentoring team members, and ensuring adherence to professional standards. It requires collaboration with clients to identify problems and design effective AI architectures.
As an AI & GenAI Data Scientist, you will leverage advanced analytics techniques to extract insights from large datasets, develop analytical models, and implement AI solutions. Responsibilities include collaborating with clients to address their business problems, designing AI architectures, and managing operations within a global data and analytics team.
As a Senior Associate in the AI & GenAI Data Scientist role at PwC, you will leverage advanced analytics and data manipulation techniques to solve complex business problems for clients. You will collaborate with teams to build AI solutions, document business processes, and design AI architectures, while supporting daily operations and delivering quality insights.
The Applied Researcher I at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include utilizing a variety of technologies to analyze large data sets, building AI models through their entire lifecycle, and conducting impactful applied research to enhance customer experiences.
Top hybrid Companies Hiring Data + Analytics Roles
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