General Motors is looking for a Data Scientist in Warren – Apply Here!

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Remote – This position does not require employee to be on-site full-time to perform most effectively. The Employees role enables them to work off-site on a permanent basics. In the USA this is an employee who lives more than 100 miles from their designed, Primary worksite

Staff Data Scientist

The Applied Analytics COE team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The Staff Data Scientist will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.

Responsibilities include the following:
• Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units
• Apply Data Science and Modeling techniques to drive data driven decision making and solve complex business problems:
• Create breakthrough solutions, performing exploratory and targeted data analyses
• Build predictive models and machine-learning algorithms
• Analyze large amounts of diverse information to discover trends and patterns
• Undertake preprocessing of structured and unstructured data
• Monitor and sustain model effectiveness
• Combine models through ensemble modeling
• Present complex information using data visualization techniques
• Plan and execute projects, including direction and oversight of technical work of Data Scientists and Senior Data Scientists
• Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing
• Identify long-term technical innovations and collaborate with the Analytics Research COE
• Act as a mentor to junior level Data Scientists and as an expert level resource for the team

Skills & Qualifications:
• Minimum seven years of experience developing, deploying and monitoring performance of large analytic data sets and statistical forecasting models
• Minimum seven years of experience utilizing several of the following toolsets:
• Scripting Languages: Python or R
• Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent
• Big Data Tools: Hadoop, Spark, SQL and NoSQL Database experience
• Data Visualization: Tableau, Power BI or similar
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
• Strong listening and communications skills
• Highly collaborative work style
• Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics

Education and Experience:
• PhD. or Master’s degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field
• Preferred academic or work experience in a data-intensive field or industry

Apply Here

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