General Motors

Data Scientist - Software Defined Vehicle

Job description

Job Description

Data Engineering is a key function of the team, contributing to the development of Software Defined Vehicle features. You will be working to record and analyze data from multiple controllers and sensors including LiDARs, radars, and cameras, coming up with solutions for vehicles of today and tomorrow. You will be responsible to develop, implement, and test solutions that are core to Automated Driving systems. Explore the power of data science. Join our team and let's create the future of autonomous vehicles together!

As a data scientist, you will be responsible for developing data insights to drive business decision or action via statistics, natural language processing, AI/ML modeling. You will work with data customers directly within GM or external on any data request.

Key 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
  • Monitor and maintain AI/ML model effectiveness
  • Combine models through ensemble modeling
  • Present complex information using data visualization techniques
  • Propose solutions and strategies to business challenges that drive business impact
  • Conduct Design Thinking/ Ideation/ Innovation sessions with the stakeholders throughout the product cycle & anticipate customers' needs;
  • Research/benchmark AI/ML technology to support data product/service roadmap;
  • Status updates to leadership on key data insights at program milestones, including reviews and demos;

Additional Job Description

Required Skills and Experience:
  • 7+ years of experience in data science capacity;
    • Proficient in one or more analytical methodologies such as feature engineering, numerical optimization, real time & time-series modeling, forecasting, image modeling, machine learning/deep learning and natural language processing
    • ML toolkits: Pandas, Tensorflow, PyTorch, Keras, SK-Learn
  • 3+ yrs industry experience in developing, deploying, and monitoring performance of data pipelines, data analysis, and BI reporting;
    • Experience utilizing:
      • Scripting languages (Python, PySpark and SQL)
      • Databases (Hadoop, Hive, Kafka, Cassandra, Elastic, and/or S3)
      • Data Visualizations (PowerBI and/or Kibana)
  • Proven technical ability to navigate highly complex data management projects and effectively collaborate with multiple parties;
  • Experience in software defined services including software release workflow, over the air data collection pipeline & database design;
  • Certification as SAFe© Professional;
  • Understanding and operate with SAFe Agile methodologies;
  • Ability to investigate issues based on limited information;
  • Strong leadership and interpersonal communication skills;
  • Creative, strategic and analytical thinking ability;
  • Ability to work and collaborate with cross-functional teams to deliver results;
  • Strong interpersonal skills and ability to develop relationships with the scrum team members and cross-functional teams;
  • Organizational and time management skills;
  • Attention to detail;
  • Jira & RTC proficiency;
  • Must be legally allowed to work in Canada and be able to travel to the US
  • Must have a valid Canadian driver's license

Preferred Skills and Experience
  • Understanding of major automotive vehicle systems such as Advanced Driver-Assistance (ADAS), Motion Control, Automotive Network, and Powertrain
  • Experience with automotive related data (e.g. warranty and diagnostics)
  • Experience with vehicle data acquisition tools (e.g. Vehicle Spy, CANalyzer)
  • Experience with data collection over the air
  • Experience with Big Data using Spark/Scala/Hadoop/Hive
  • Experience with database design
  • Experience with website, SharePoint and/or GUI development
  • Experience with web-based APP development
  • Exposure to embedded software (C/C++ and/or Matlab Simulink)

Minimum Education Required
  • Bachelor's Degree in Mathematics/Statistics, Computer Science, Data Science or Engineering
  • Advance degree (Master or PhD) in AI/ML preferred

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.

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 volunteeropportunities.

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 Statement

Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada, please advise if you require accommodation. General Motors of Canada values diversity and is an equal opportunity employer.

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