General Motors Data Scientist in Warren, Michigan
There’s never been a more exciting time to work for General Motors.
To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.
Why Work for Us
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.
The Applied Analytics COE team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The individual 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.
As a Data Scientist, will be in Applying Data Science and Modeling techniques to tackle complex business problems. Are you driven and passionate about data analytics and data sciences? Can you lead with our vision for the future? Come be part of an industry whose vision is to change the future of mobility.
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 associate 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
Additional Job Description
Skills & Qualifications:
Minimum seven years of experience developing, deploying and monitoring performance of large analytic data sets and machine learning based models
Minimum seven years of experience utilizing several of the following data and analytics toolsets:
Languages: Python, R, Spark Scala, SAS
Big Data Tools and Databases: Hadoop, Teradata, Spark, Kafka, Advanced SQL and NoSQL including Postgres and Cassandra
Data Visualization: Tableau, SAS, JMP or similar
Hands-on text analytics and NLP (natural language processing) experience in a corporate setting is a plus.
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 or other quantitative field
Preferred academic or work experience in a data-intensive field/industry such as biotechnology, computational chemistry, cognitive or neurosciences, behavioral economics, econometrics, engineering, physics, quantitative finance, high frequency trading or intelligence analytics
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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