Data Scientist - Mid/Senior Level

Key Skills

Java Programming, Python Programming, SQL, Apache Hadoop, Scala Programming, Docker, R Programming, SPARK Programming

Job Description

Note: This is a Hybrid position within our IT Organization. The role will allow employees to work remotely, but will also require onsite work based on business needs. The selected candidate will be expected to live a commutable distance to the innovation center they are selected for. Relocation will be provided as needed.

FOR GM INTERNAL CANDIDATES: This role is posted at both 6th and 7th level. The determination by HR and the Hiring Manager as to whether an offer will be lateral or promotional will be based on a candidate's relevant experience and whether the role will amount to a significant increase in level of responsibility.

About the role:

As a Data Scientist, you will be responsible for applying data science and modeling techniques to tackle complex business problems. We are seeking individuals who are passionate about data science, and a willingness to lead the transformation of GM’s core business processes through the application of big data and analytics.  In this role, you will have the opportunity to help GM in its vision to revolutionize the future of mobility.

Additional Description

RESPONSIBILITIES:

• Build predictive models and machine-learning solutions to solve business challenges
• Analyze large amounts of information to discover trends and patterns
• Undertake preprocessing of structured and unstructured data
• Productionize analytical models
• Monitor and sustain model effectiveness
• Present complex information using data visualization techniques
• Propose solutions and strategies to business challenges that drive business impact

REQUIREMENTS:

• At least 3 or more years proficiency in one or more core analytical tools / suites / languages such as Python, R, Spark, Scala and understand their limitations
• Proficient in one or more analytical methodologies such as numerical optimization, econometric modeling and forecasting, machine learning, Bayesian statistics, game theory, agent-based simulation, text analytics, and computer vision / pattern recognition

Nice to have skills:

• Experience with Kubernetes, Docker, containerization
• Experience with Hadoop and/or SQL

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.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

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.