Senior Data Scientist

Your Role And Responsibilities Senior Data Scientist, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US

• Lead a team of Artificial Intelligence data scientists and engineers as a senior data scientist for the generative AI-analytics-automation practice (public market).
• Advise large clients on their AI strategy and AI-enabled business transformation, collaborating with industry-focused teams to drive business growth at key clients.
• Shape, lead, and deliver client projects for AI advisory, AI governance, and trustworthy AI.
• Lead the artificial intelligence (AI) and advanced analytics teams comprised of data scientists.
• Perform exploratory analysis of data to identify insights.
• Employ statistical and machine learning techniques to create predictive models.
• Design and develop advanced visualizations to improve data consumption and reveal insights.
• Build custom data flow and processing modules to aggregate and analyze large quantities of data.
• Recommend and build systems for data analytics and data integration.
• Set up data lakes and big data processing platforms to handle very large unstructured and structured data.
• Perform graph analysis and social media data analysis to identify relationships and trends between entities.
• Utilize: Data Science for Artificial Intelligence, Statistical Analysis, R (programming language), python, and machine learning libraries (scikit-learn).

Required: Master’s degree or equivalent in Information Systems Management, Data Analytics or related (employer will accept a Bachelor’s degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Senior Data Scientist or related. One (1) year of experience must include utilizing Data Science for Artificial Intelligence, Statistical Analysis, R (programming language), python, and machine learning libraries (scikit-learn). $241973 – $275000 per year. Full time. H250.

Required Technical And Professional ExpertiseMaster’s degree or equivalent in Information Systems Management, Data Analytics or related (employer will accept a Bachelor’s degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Senior Data Scientist or related. One (1) year of experience must include utilizing Data Science for Artificial Intelligence, Statistical Analysis, R (programming language), python, and machine learning libraries (scikit-learn).