Top Data & Analytics Jobs
Develop advanced statistical algorithms, apply data mining techniques, collaborate with clients, assess emerging datasets, contribute to scalability, mentor team members, and support research.
Develop advanced and efficient statistically effective algorithms, utilize technical skills for data analysis, collaborate with clients, assess emerging datasets and technologies, contribute to thought leadership, and provide mentorship to team members.
Develop advanced algorithms, apply statistical and data mining techniques, collaborate with clients, assess emerging datasets and technologies, provide mentorship, and contribute to thought leadership and research support.
Featured Jobs
Develop advanced algorithms, apply statistical and data mining techniques, collaborate with clients, assess emerging datasets, contribute to thought leadership, mentor team members.
Develop advanced algorithms, apply statistical techniques, collaborate with clients, assess emerging technologies, mentor team members, and contribute to research and publication.
The Data Strategy & Partnerships Associate Consultant at ZS will help deliver world-class solutions that address the development of data strategies, optimize data governance and operation, data sourcing strategy, process design, value creation, and portfolio analytics. This individual will collaborate with various teams globally and have high visibility within the firm.
The Data Science Manager at ZS Discovery will shape and grow AI capabilities in pharmaceutical discovery, work with clients to deliver high impact projects, lead a team of data scientists, develop AI offerings, and present results at industry conferences.
Data Science Manager at ZS Discovery responsible for shaping and growing AI capabilities in pharmaceutical discovery, working closely with clients, leading a team of data scientists, and developing AI offerings for research. Qualifications include a PhD in AI or pharmaceutical research discipline with 6+ years post-PhD experience or 10+ years post-collegiate job experience.
Develop advanced algorithms for large data sets, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong analytical and quantitative skills, and have expertise in machine learning algorithms and big data concepts.
Develop advanced AI algorithms, data mining techniques, and machine learning models to solve complex problems efficiently. Evaluate emerging datasets and technologies. Contribute to thought leadership by researching and publishing on evolving topics. Requires a Bachelor's or Master's degree in STEM, expertise in Python and Pyspark, and experience in engineering features from various data sources.
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