Data Scientist N7

Job 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

Additional Job 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 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 volunteer opportunities. 

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.