Data Scientist - Advanced Analytics
General Motors

Job Info

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Job Description

Hybrid: This position does not require an employee to be on-site 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.

-This position requires an employee to be onsite 1-4 times per year

Responsible for interacting with the business partners and other departments to understand the business objectives and drive solutions that efficiently meet the needs of the business. The focus of this position is to provide solutions that will allow us to turn raw data into actionable insights for better decisions and better business performance.

Our team mantras are to never stop learning and focus on the customer, meaning we need to continuously learn new concepts and technologies to build useful insights for our customers.

Roles and Responsibilities:

• Build predictive models and machine-learning algorithms
  
• Analyze large amounts of information to discover trends and patterns
  
• Undertake preprocessing of structured and unstructured data
  
• Be able to formulate problems well, prototype solutions, make reasonable assumptions in the face of ill-structured problems, design solutions and analyze results
  
• Present complex information in a simple manner using data visualization techniques
  
• Propose solutions and strategies to business challenges that drive business impact
  
• Increase technical proficiency across GM
  

Additional Job Description

Required Qualifications:

• 4+ years experience solving analytical problems using quantitative approaches
  
• Comfort manipulating and analyzing sophisticated, high-volume, high-dimensionality data from varying sources, including both structured and unstructured data
  
• The ability to demonstrate proficiency in the following areas: classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, dimension reduction, tensor decomposition and regression, causal inference and etiology
  
• Deep knowledge and experience in geographic information system (GIS) such as GIS data representation, coordinate system projection, geostatistics, geocoding and cartography.
  
• A strong passion for empirical research and for answering hard questions with data
  
• A flexible analytic approach that allows for results at varying levels of precision
  
• Ability to communicate sophisticated quantitative analysis in a clear, detailed, and meaningful manner using data visualization techniques
  
• Proficiency with Python, SQL, and / or R
  
• Experience working with large data sets, experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) and Machine Learning pipelines (Spark, DASK, Argo, etc.) a plus
  
• Cultivates open, inclusive culture that supports learning and encourages collaboration.
  

Education:

• Master's degree, or equivalent experience
  
• PhD preferred in Mathematics, Computer Science, Electrical Engineering, Signal Processing, or related quantitative areas
  

This position may be filled with a mid or senior level candidate.

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.

Diversity Information

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.GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

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 (EEO) 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 atCareers.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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