Staff Scientist

Description
The Role
We are seeking a highly skilled and motivated Staff Scientist with strong leadership skills to join our Applied Analytics and Insights team at GM. In this role, you will partner with business stakeholders, product managers, and other data science teams to develop AI/ML solutions that create significant business value. You will work on developing and leading new and creative data science solutions aimed at enhancing GM's customer experience and profitability.
What You'll Do

• Collaborate with business stakeholders, product managers, and data science teams to develop actionable, high-impact data analytical models and insights in a variety of core business areas.
• Lead and mentor other scientists to drive high-quality analytical products in a timely manner, ensuring we are solving the right problems, using the right methods and techniques to solve these problems, drawing the right conclusions.
• Direct the working team's approach balancing the delivery of high quality of work, speed-to-market, and scalability.
• Develop industry leading solutions through appropriate problem framing/scoping, data requirements identification, data exploration, robust model selection and assessment, and model productionization/monitoring.
• Identify opportunities to leverage data and design data science solutions that will support business decision making and create enterprise value.
• Work closely with business stakeholders, data scientists, data engineers, and product managers to ensure consistent progress towards solution development and business adoption/consumption.
• Communicate findings and recommendations to stakeholders in a clear and actionable manner, influencing senior leaders to use data and insights to make data-driven decisions.
• Stay current with the latest advancements in data science, AI, and machine learning technologies, mentoring team member on data science best practices.

Required Qualifications

• 10+ Years of professional experience in the area.
• A Bachelor's degree in computer science, engineering, statistics, mathematics, physics, econometrics, or a related degree
• Master's degree in computer science, engineering, statistics, mathematics, physics, econometrics, or a related degree

Business Acumen:

• Ability to understand complex business processes, and how business value is created. Based on that knowledge, propose analytic strategies and solutions that challenge and expand the thinking of the working team.
• Ability to create structured problem statements and conceptualize potential solutions from rough client specifications and information.
• Ability to communicate analyses, status, results, and recommendations to business management and executives in business terms.

Technical expertise:

• Expert knowledge and experience in one or more of these areas*: Numerical optimization, econometric modeling and forecasting, machine learning, Bayesian statistics, game theory, agent-based simulation, text analytics, and computer vision / pattern recognition
• Experience with analyzing source system data and data flows and working with structured and unstructured data.
• Experience with manipulating high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends.
• Excellent technical knowledge in two or more of the following technology areas:
  
  • Analytic tools and languages for statistical and machine learning models such as Python (Sci-Kit Learn), Spark, R
  • Deep Learning frameworks and tools such as TensorFlow
  • Cloud based data science platform such as Databricks and Azure
  • Data management and processing using Postgres and Databricks
  • Data visualization with tools such as Power BI and Tableau
  • Application development using Java, Springboot, React, Node, or Angular

Additional Description
Preferred Qualifications

• Ph.D. preferred computer science, engineering, statistics, mathematics, physics, econometrics, or equivalent 10+ year's work experience in related technical or quantitative fields required (*see above technical areas).
• Flexible analytic approach that allows for producing results at varying levels of precision.
• Strong listening and communications skills, with ability to clearly and concisely explain complex problems and technologies to non-expert and executive audiences.
• Evidence of being able to transfer solutions to business stakeholders for successful adoption and value realization.
• Highly collaborative work style, with ability to provide leadership to a cross-functional team.
• Works well in an ambiguous, fast-paced environment.
• Commitment to constant learning to expand skills and keep pace with industry advances.

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
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.
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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. 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. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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.