Staff Data Scientist

Description
The Role
This is a unique opportunity to become part of a diverse team comprising seasoned professionals. Together, we spearhead the discovery of opportunities and craft solutions, advancing analytics initiatives across our global operations. Our responsibilities encompass both strategic analytics planning and project-driven problem-solving, concentrating on pivotal business domains.
This role applies leading analytic practices and methods, designs and leads iterative development and learning cycles, and ultimately produces new and creative analytic solutions that become part of the operating fabric of the global enterprise.
What You'll Do

• Working with cross-functional teams to discover and develop actionable, high-impact data analytics needs and opportunities in a variety of core business areas.
• Developing industry leading solutions including:
  • Assessing existing analytic models and architectures, reviewing for gaps against business needs and industry best practices.
  • Identifying detailed data needs, sources, and structure to support solution development.
  • Determining the analytic approaches to be used and defining and applying the appropriate methodologies.
  • Employing Proof-of-Concepts for exploratory and targeted data analyses, leading to breakthrough solutions.
  • Ensuring integrity of the analytical solutions in terms of the underlying statistical and economic models and assumptions.
  • Design, development and implementation of project-specific models
  • Productionize analytical models.
  • Monitor and sustain model effectiveness.

Additional Description
Your Skills & Abilities (Required Qualifications)
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.
• Expert knowledge, 10 years of experience 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
  • Data visualization with tools such as Power BI, Tableau
  • Model deployment and analytics pipeline development

Additional Qualifications:

• 10+ Years Professional Experience in the area.
• 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. Working well under uncertainties.
• Commitment to constant learning to expand skills and keep pace with industry advances.

Education

• PhD preferred; Master's degree or equivalent 10+ year's work experience in related technical or quantitative fields required (*see above technical areas). Employment experience in a Fortune 100 company a plus.

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.
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $116,100 - $181,600 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

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.
#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 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.