Data Scientist

Lensa; Austin (TX); Hybrid; USD 114,000 - 242,000; Full time

Job summary

Lensa is seeking passionate candidates to join General Motors as a Scientist in Austin, TX. The role involves the entire data science lifecycle from model development to deployment, using AI and ML to tackle key business challenges. Candidates should have a strong background in computer science or related fields and be prepared to work in a collaborative environment.

Benefits

Paid time off including vacation days and parental leave

Healthcare, dental, vision, and life insurance plans

Company contributions to retirement savings plan

Tuition assistance

Discount on GM vehicles

Qualifications

• 3+ years experience as a data scientist or related role.
• Experience with AI/ML techniques and data science lifecycle.
• Strong interpersonal skills and the ability to work in a team.

Responsibilities

• Develop predictive models using machine-learning algorithms.
• Analyze data to discover trends that drive decisions.
• Create applications to deliver insights to business clients.

Skills

Python proficiency

Data visualization tools (e.g., Tableau, Power BI)

Problem-solving skills

Expertise in AI/ML methodologies

Education

Bachelor’s Degree in Computer Science, Engineering, Statistics, Mathematics, or Physics

Master's/Ph.D. degree in Computer Science or related field

Tools

SQL

Databricks

Job description

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Job Description

The Role

General Motors is seeking applications for highly motivated and qualified individuals for the position of Scientist. This is a unique opportunity to join a multi-disciplinary team of experienced individuals who will drive the design, development, and deployment of advanced statistical and mathematical solutions running the gamut across the technological spectrum. The team is responsible both for analytics strategy and project-based solutions, focusing on the company’s most critical business areas.

As a Scientist, you will be responsible for working on a team seeking to solve GM's most pressing challenges across the enterprise using AI/ML and other analytical techniques. You will be responsible for the entire data science lifecycle process across multiple product workstreams, from initial investigation, to proof-of-concept development, to productionization and deployment, to final enhancement, hardening and maintenance.

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.
  
  

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 computer science, engineering, statistics, mathematics, physics or a related degree (MS or Ph.D. preferred).
• 3+ 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., Tableau, 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

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Databricks experience.
• Master's/Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
  
  

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week, at minimum.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

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.

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.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:

• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.
  
  

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. GM is proud to be an equal opportunity employer.

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 Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [e-mail] 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.

About

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global location s

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and 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 at [e-mail] .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.

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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