General Motors Logo

General Motors

Senior Scientist

Posted 2 Days Ago
Remote
Senior level
Remote
Senior level
The Senior Scientist will develop and deploy data-driven analytic solutions to enhance business outcomes. Responsibilities include building predictive models, analyzing data for trends, ensuring model effectiveness, and creating user interfaces and documentation for analytical processes. This role requires collaboration with technical teams on project deliverables and coding for operational efficiency.
The summary above was generated by AI

Description
This role is based remotely but if you live within a 50-mile radius of an office location [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.
The Role
The Applied Analytics & Insights - Internal Business Functions team is focused on execution-based analytics to help GM achieve better business outcomes through contextualized solutions with targeted actions. The individual will work as a member of a multi-disciplinary team of various experience levels that frame opportunities, wrangle the necessary data and create end-to-end analytical pipelines, develop user interfaces for analytical insights, and build POC and production models in support of better business decisions. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company's most critical business areas.
What You'll Do

  • Work as a member of a cross-functional team to propose and implement high-impact data driven analytic solutions that address challenges across internal business functions
  • Apply Data Science and Modeling techniques to drive data driven decision making and solve complex problems:
    • Build predictive/prescriptive models and machine-learning algorithms
    • Analyze large amounts of diverse information to discover trends and patterns
    • Undertake preprocessing of structured and unstructured data
    • Monitor and sustain model effectiveness
    • Present complex information using data visualization techniques
  • Work with diverse technical teams to provide analytical dataset pipelines and user interfaces to ensure project deliverables fulfill business needs and timing
  • Create technical documents for models and processes
  • Present complex information using data visualization techniques and data storytelling
  • Create repeatable and scalable code and processes for improving development/execution efficiency.


Additional Description
Your Skills & Abilities (Required Qualifications)

  • Master's Degree or Ph.D. in Data Science, Analytics, Operations Research, Engineering, Statistics, Economics, Computer Science, Applied Mathematics or another quantitative field
  • Minimum five years of experience as a Data Scientist developing, deploying, and monitoring performance of large analytic data sets and machine learning based models
  • Proficient writing code using Python or R and developing SQL queries, running models in Spark, working with big data tools like Hadoop, IBM Elastic Storage System, or equivalent, and visualizing data using Power BI or Tableau or other
  • Hands-on experience developing and deploying models using MLops framework utilizing Databricks /Azure services ( Synapse, Azure Data Factory, Power BI) or AWS tools (SageMaker, Glue, EMR) or GCP (Dataflow, Big Query, Cloud Run)
  • Capable of working with diverse technical teams to produce analytical dataset pipelines and user interfaces
  • Text analytics and NLP (natural language processing) experience in a corporate setting is a plus.
  • Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
  • Strong listening and communications skills
  • Highly collaborative work style
  • Ability to evaluate the big picture and provide meaningful business insights and actions


This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
#LI-CC1
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 believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging for all employees. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is proud to be an equal opportunity employer and is committed to providing a workplace that is free of unlawful discrimination.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
Accommodations (U.S. and Canada)
General Motors 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 [email protected] or call us at 800-865-7580. 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.

Top Skills

Python
R

General Motors Markham, Ontario, CAN Office

Markham, Ontario, Canada

General Motors Oshawa, Ontario, CAN Office

Oshawa, Ontario, Canada

Similar Jobs at General Motors

Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Data Engineer will develop scalable data products for consumer-centric analytics and insights, focusing on membership and loyalty programs. Responsibilities include collaborating with data teams, adhering to data privacy policies, and driving the adoption of cloud-first technologies while fostering a culture of continuous learning within the team.
Top Skills: AzureDatabricksPythonSparkSQL
5 Days Ago
Remote
Hybrid
2 Locations
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The People Analytics Solutions Lead will guide the technical solutions team in HR data engineering, architecture, and analytics solutions. Responsibilities include building data infrastructure, managing complex data projects, and establishing governance frameworks for data quality. The role demands a blend of strategic oversight and hands-on analytics expertise, aimed at driving data-informed talent decisions and improving organizational effectiveness.
Top Skills: PythonRSQL
11 Days Ago
Remote
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior ML Engineer will develop scalable machine learning platforms for marketing optimization. Responsibilities include collaborating across teams, designing ML systems, improving best practices, and driving business value through advanced analytics and insights from data. The role requires strong technical leadership and stakeholder management skills.
Top Skills: PythonSpark

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account