Job Description

General Motors has an exciting opportunity for recent college graduates who are technical, innovative, problem solvers to apply to our Analytics Career Evolution (ACE) development program.

Employees hired into the ACE program will have an opportunity to accelerate their professional experience and expand their network by working across several areas of GM for the few years of their employment. The ACE development program will provide a vast number of exciting projects, visibility to senior leadership, robust training, and networking opportunities.  

At the end of the development program, ACE employees will have an opportunity to work with ACE program leaders and human resources to find their next role within general motors. In anticipation of these opportunities becoming available, if you are interested in learning more about GM, completing this profile will allow us to stay connected.

If you share our passion for reimagining transportation and creating a safer, better and more sustainable future, we encourage you to learn more about our available positions and apply today!

We are looking for Data Science professionals who: 

• Have a steadfast drive for excellence

• Challenge themselves and their peers

• Enjoy working collaboratively in cross-functional teams

• Demonstrate a good work ethic

• Have a strong ability and willingness to learn

• Exhibit curiosity and are willing to explore new possibilities and solutions

• Understand advanced math and analytics concepts, and can apply them to real applications

• Desire to deliver innovative solutions to complex problems

Role – as a Data Scientist, you will be applying Modeling techniques to tackle complex business problems. They are responsible for building predictive models and machine-learning algorithms, analyzing large amounts of information to discover trends and patterns, and deploying analytical solutions, including visualizations and predictive models. 

Additional Job Description

Requirements: 

• Education: Master’s degree – Mathematics, Computer Science, Statistics, Economics, Social Science, or other quantitative degree preferred

• 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

• Hands-on text analytics and NLP (natural language processing) experience in a corporate setting is a plus.

• Job locations will be in Warren or Detroit, Michigan; some roles will consider remote work

Technical Experience:  

• Language proficiency in Python, R, Spark, Scala

• Experience in big data tools and databases: Hadoop, TensorFlow, Greenplum, Spark, Kafka, Advanced SQL and NoSQL including Postgres and Cassandra

• Data Visualization:  PowerBI, Tableau, JMP or similar

This role offers the following Work Appropriately strategies:

• Remote:  The selected candidate can reside and perform the work from anywhere within the United States.
• Hybrid: This position does not require an employee to be onsite full-time to perform most effectively.  The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired.

Relocation assistance is available to candidates who meet eligibility requirements.

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