Data Scientist - Vehicle Safety Data Analytics

Job Description

Job Description

RESPONSIBILITIES:

• Execute best-in-class advanced analytics methods
• Develop statistical models and approaches to solving data surveillance and analysis issues, including machine learning and deep learning methods
• Present analysis to internal audiences by synthesizing complex data and concepts into easy-to-comprehend, comprehensive, and cohesive presentations
• Work with emerging issues data scientists and product investigation support analysts to improve model capabilities and performance
• Conduct hands-on statistical analysis (e.g., machine learning and deep learning) on large data sets as needed
• Participate in technical conferences, meetings, panels and other vehicle safety forums
• Collaborate with Safety, Engineering, CDAO, Quality and IT stakeholders on projects

Required Skills

• 2+ years of post graduation work experience required; 5+ years strongly preferred
• Demonstrated knowledge and application of NLP algorithms across multiple projects
• Proficiency with analytics / NLP frameworks such as scikit-learn, tensorflow, keras, torch, nltk, genism, spacy, etc.
• Knowledge of data mining, machine learning, deep learning,
• Highly proficient in descriptive/predictive modeling and data wrangling tools such as Python, R, SQL and etc.
• Proficient in feature engineering for structured and unstructured data.
• Experience with distributed computing tools such as spark or dask
• Knowledge of big data tools and Hadoop ecosystem
• Knowledge of statistical methods such as sampling techniques, multivariate analysis, regression analysis, survival/reliability analysis, design of experiments, and analysis of variance.
• Deep understanding of text representation techniques (such as n-grams, bag of words, word embeddings, etc.), statistics and classification algorithms
• Demonstrated experience developing, integrating, and continuously monitoring large integrated datasets and predictive models
• Willingness to learn new skills and methods as needed – continuous learning mindset
• Experience with data preparation, rationalization, and processing
• Strong quantitative skills
• Experience with visualization tools such as Tableau, Power BI, matplotlib, ggplot, plotly, or etc.
• Ability to effectively communicate results and methodologies
• Strong drive for results and intellectual curiosity
• Ability to legally operate a motor vehicle

Education/Training:

• Bachelors degree in Applied Statistics/Mathematics, Computer Science, Engineering, Operations Research, or related quantitative field.
• Professional certification in data science related systems and tools a plus

Preferred skills:

• Masters degree in Applied Statistics/Mathematics, Computer Science, Engineering, Operations Research, or related quantitative field.
• Knowledge of GM IT systems and processes, especially in the areas of Engineering, Quality/Warranty, Customer Care and Aftersales, or OnStar.
• Experience with collaborative developments and version control systems, such as git.
• Familiarity with deployment tools such as REST API, batch processing, docker containers, etc is a plus.
• Two or more years’ experience in vehicle engineering or service.
• Working knowledge of vehicle systems and CAN bus and telematics data is a plus.
• Multilingual competency is a plus.

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 at [email protected] . 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.