Job Description

Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE IF YOU WILL NEED IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

Work Arrangement:

Remote: The position does not require an employee to be onsite full-time to perform most effectively. The employee\'s role enables them to work off-site on a permanent basis.

The Role:

General Motors is transforming the future of mobility \xe2\x80\x93 and the Canadian Technical Centre (CTC) is at the forefront of that transformation. We are a diverse team of agile and innovative thought leaders who are passionate about developing key technologies and products that will help achieve GM\xe2\x80\x99s vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. \xe2\x80\x8b

CTC has a proven track record of taking technologies from concept to production in both automotive and non-automotive areas. Our success is propelled by our talented people and our deep technical knowledge in domains like infotainment software, diagnostics, data analytics, AI, mechatronic controls, and cold weather development. \xe2\x80\x8bIf you want to work with an inclusive and collaborative team that\xe2\x80\x99s striving to change the world for the better, we invite you to join us.

We are looking for a dedicated and passionate Data Scientist or Statistician Co-Op with an applied statistics background who will become part of the SDV Super Cruise analytics team. The team is focused on providing analytical insights about Super Cruise usage to several internal partners across GM. It is a highly collaborative, driven, and bold organization that embraces innovation and challenges! This position requires extensive knowledge of applied statistics, specifically, create and identify meaningful actionable statistics based on business needs; ensure applied statistical analyses are unbiased, accurate and precise; and identify problems, solutions, and opportunities from data analyses. Typical work includes collaborating with data engineers and other data scientists on the team within the Scaled Agile (SAFe) framework to complete analytical assignments.

So, if you have curiosity and initiative for deriving insights from data and generating impactful business value, and you have experience in statistics, mathematics, and/or data science we are looking for you!

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 sustain 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

Additional

Requirements Qualifications:

Pursuit of a Bachelor\'s (3rd and 4th year students) or Master\'s (Preferred) degree in one of the following areas: Statistics, Mathematics, Data Science

Able to work fulltime, 40 hours per week in Canada, and for 8-12 month term (2-3 consecutive semesters) starting January 2024

Strong expertise with the following statistical methods: time series analysis, categorical data analysis, multivariate analysis, and clustering

Expertise visually charting and graphing data to covey a story

Experience creating and identifying meaningful actionable statistics based on business needs

Experience with machine learning (supervised or unsupervised), statistical modeling, and text mining to meet analytical objectives

Proficient with one, or more programing tools and environments (ex. Python, R, SQL, DataBricks, AZURE, PowerBI)

Analyze large complex structured and unstructured datasets

Able to communicate an unbiased story using analytical insight to influence decision making

Ability to cultivate an open and inclusive culture that supports collaboration with data engineers to build data and model pipelines

Experience with the Scaled Agile Framework (SAFe)

Work in a fast-paced agile environment to develop and deliver advanced analytics solutions

Ability to be strategic and tactical with strong problem-solving abilities

A self-starter and highly comfortable dealing with ambiguity

Continuous learning mindset - willingness to learn new skills and methods as needed

What will give you a Competitive Edge (Preferred Qualifications):

Software Telemetry data

Understanding of major automotive vehicle systems such as Advanced Driver-Assistance (ADAS), Motion Control, Automotive Network, and Powertrain

Experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, etc) and Machine Learning pipelines (Spark, DASK, Argo, etc)

Scaled Agile Framework (SAFe) certification

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable provincial laws. The compensation may not be representative for positions located outside of British Columbia, Prince Edward Island, or Nova Scotia.

The salary range for this role is $4,100-$4,700 per month. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

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 \xe2\x80\x93 individually and collectively \xe2\x80\x93 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 volunteer opportunities.

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.

General Motors