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General Motors Entry Level - Masters Degree Data Scientist - JR-000063437_41078605458_16 in Kansas City, Kansas

This job was posted by https://www.kansasworks.com : For more information, please see: https://www.kansasworks.com/jobs/11737802 Job Description

About GM

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 openwork spacesand virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteerinterests,andmake it a priority to join together in efforts that give back to our communities.

Job Description

General Motorshasan exciting opportunity forrecentcollege graduateswho are technical, innovative, problem solverstoapply toour Analytics Career Evolution (ACE)development program.

Employees hired intothe ACE program willhave an opportunity toacceleratetheirprofessionalexperienceand expand their networkbyworkingacross severalareas of GMfor the fewyearsoftheiremployment.The ACE development program will provide a vast number ofexciting projects, visibility to senior leadership, robusttraining,and networking opportunities.

At the end of thedevelopmentprogram,ACEemployees willhave an opportunity to work withACEprogram 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,betterand more sustainable future, we encourage you to learn more about our available positions and apply today!

Weare looking for DataScienceprofessionals 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, andcanapply 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


+ Education:Master'sdegree - 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, AdvancedSQLand NoSQL including Postgres and Cassandra

+ Data Visualization: PowerBI, Tableau, JMP or similar

This role offers the followingWork Appropriatelystrategies:

+ 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.


About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.