Robert Half Corporation Jobs

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Robert Half Manager Data Scientist in San Ramon, California

Description

Our client is seeking an experienced Manager of Data Science who is ready to take their career to the next level by helping to shape the future direction of our clients AI tech. Having invested heavily in data science, our AI leverages millions of proprietary data points, and drives innovation across the core products.

RESPOSNSIBILITIES

Be a program-wide expert on advance ML techniques, and lead the team to develop production level models.

Be a team player and coach to a diverse group of high performing data scientists, and collaborate with a dynamic mix of cross-functional teams within their company.

Work with non-technical teams to help guide roadmap definition, prioritization, and decision making.

Execute project design, development, and testing. In collaboration with the Machine Learning engineers, execute the deployment and support of scalable models from POC to small-scale, to large scale in a production environment, iteratively improving solutions to respond to customer needs.

Stay 100% up-to-date with latest ML algorithms and techniques and direct the team of data scientists to adopt them when applicable.

Enhance data collection procedures to include information that is relevant for building analytic systems

Design and lead the team to conduct the ad-hoc analysis and present results in a clear manner

Contribute to the definition and implementation of technical standards, compliance, KPIs, monitoring, model refresh mechanisms and testing.

Perform code-review and debug with the team, and assist during implementation where necessary.

Requirements

M.S. degree or above in Computer Science, Statistics, Mathematics, Physics, or other STEM fields

5+ years of extensive, varied, years of machine learning development experience

8+ years of experience in statistical modeling

Outstanding technical skills and communication skills

Ability to work with other teams and/or external solution providers to understand technology landscape and define and document end-to-end ML processes

Demonstrable ability to turn business and functional requirements into actionable designs, and partner with the product teams and engineering teams to drive implementation

Ability to communicate vision and technical roadmap for the ML development internally and externally

Strong preference for experience in one or more of…

AWS or other cloud environment

Relational databases

Developing NLP related models

Analyzing large and complex data sets

Knowledge of NLG is an additional plus

Technology Doesn't Change the World, People Do.®

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