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Data Scientist N7

AT General Motors
General Motors

Data Scientist N7

Mexico City, Mexico

Description

Your Skills & Abilities (Required Qualifications)

  • Candidates must be collaborative team players who will work closely with professionals across the enterprise including other scientists, software developers, analysts and product leads.
  • Bachelor's degree in data science, computer science, engineering, statistics, mathematics, physics or a related degree
  • 1+ years' experience (2 years with MS) as a data scientist, research scientist, AI analyst, ML engineer, or related role.
  • Python proficiency required.
  • Expertise across multiple domains of forecasting, clustering, classification, econometrics, optimization, Bayesian statistics, neural networks, deep learning, natural language processing, LLMs, generative AI, and/or other machine learning and AI methodologies.
  • Experience with SQL, Databricks and/or other cloud-based data science platforms preferred.
  • Strong interpersonal and communication skills and demonstrated working experiences with cross-function product teams.
  • Experience with data visualization tools (e.g., Power BI) to effectively communicate insights.
  • Solid problem-solving skills and the ability to translate business questions into data-driven solutions.
  • Familiarity with data storage solutions, databases, and data processing frameworks.
  • Excellent communication skills to present findings and collaborate across teams.
  • Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality

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Additional Description

Key Requirements

  • Degree in Computer Science, Statistics, Mathematics, or a related field.
  • Databricks experience.
  • Fluid English

What You'll Do

  • Develop predictive and prescriptive models using machine-learning algorithms, optimization and AI solutions.
  • Analyze large amounts of diverse information to discover trends and patterns that drive business decisions.
  • Develop UI applications to deliver insights to business clients.
  • Undertake preprocessing of structured and unstructured data.
  • Monitor and sustain model effectiveness.
  • Present complex information using data visualization techniques.
  • Create repeatable and scalable code bases and processes for improving development / execution efficiency.

Hybrid position 3 days at office 2 days working from home

Diversity and inclusion are our strengths. We respect and value what each individual contribution to our team, including their origin, education, sex, race, ethnic group, sexual orientation, gender expression and / or identity, religious context, age, generation, and disability. We believe that our ability to meet the needs and expectations of an increasingly diverse and global customer base is closely linked to the diversity and inclusion that we experience within General Motors.

If you need a reasonable accommodation to assist with your employment, please mention it to the recruiter.

Note: GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration now or in the future sponsorship

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.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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.

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.

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 Careers.Accommodations@GM.com 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.

Client-provided location(s): Mexico City, CDMX, Mexico
Job ID: General_Motors-JR-202508063
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
    • Stock Purchase Program
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Woman founded/led
    • Employee Resource Groups (ERG)

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