Top Hybrid Data Science Jobs
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.
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.
Featured Jobs
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.
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 AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to extract insights from large datasets, collaborate with clients to solve complex business problems, and develop AI solutions. Responsibilities include model development, data processing, and managing client relationships while guiding the data analytics team.
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.
The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.
As an Associate Director of Data Science, you will develop and implement algorithms to solve complex supply chain issues, use machine learning and operations research, and collaborate with various supply chain functions to optimize operations. You will drive strategic planning initiatives and lead analytics teams for continual improvement in processes and metrics.
Top hybrid Companies Hiring Data + Analytics Roles
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