GM Financial is hiring for an entry level Data Scientist 1 role in US

Position:

• Data Scientist I

Company:

• GM Financial

Location:

• Fort Worth, Texas
• Detroit, Michigan

Job Type:

• Full-Time

Job Mode:

• Hybrid (Remote/On-Site)

Job Requisition ID:

• 48628

Years of Experience:

• 0–2 years as a Data Scientist or in a similar quantitative field.

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Company Description

• GM Financial, the wholly-owned captive finance subsidiary of General Motors, is headquartered in Fort Worth, Texas.
• Operating globally, it provides auto finance solutions across North America, South America, and the Asia-Pacific region.
• Partners with auto dealers to offer customized retail financing and lease programs to cater to various customer needs.
• Offers commercial lending solutions to support auto dealers in financing and expanding their businesses.
• Embodies a culture that values innovation, integrity, community, and belonging, ensuring employees thrive and contribute meaningfully.
• Driven by the purpose of pioneering innovations that connect people to what matters most.

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Profile Overview

• As a Data Scientist I, you will be a key contributor to the design, development, deployment, and maintenance of predictive, prescriptive, and statistical models.
• Areas of focus include originations, collections, risk management, pricing strategies, fraud detection, customer experience, and marketing.
• You will leverage advanced methodologies such as machine learning, optimization, and data mining to interpret and analyze complex datasets.
• Responsibilities encompass conducting research studies, applying supervised machine learning techniques, and utilizing statistical methods to derive actionable insights.
• The role involves presenting findings through polished reports to internal clients and collaborating with cross-functional teams to align with organizational goals.
• Act as a subject matter expert in quantitative methods, demonstrating expertise in forecasting, modeling, and data analysis tools.

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Responsibilities

Key Contributions:

• Perform research, analysis, and modeling using organizational data to address business questions.
• Assist in analyzing key metrics to identify patterns and trends.
• Build and refine technical knowledge to support analytical and research responsibilities.
• Conduct research projects that include data collection, analysis, summarization, and actionable recommendations.
• Develop and implement algorithms and models aimed at enhancing operational efficiency.
• Present findings in a clear, actionable format to aid in strategic decision-making.
• Ensure that analytical products align with business requirements and deliver value.
• Collaborate with business leaders to identify and apply analytics in support of strategic goals.
• Maintain adherence to project deadlines in a dynamic, fast-paced environment.

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Qualifications

Skills and Expertise:

• Strong foundation in quantitative analysis, probability, and statistical methodologies.
• Proficiency in methodologies like least squares regression, logistic regression, time series analysis, and decision trees.
• Expertise in programming and analytical tools, including Python, SAS, SQL, R, and JMP.
• Experience with visualization tools like Excel and PowerPoint for clear and concise reporting.
• Ability to design, document, and implement model monitoring protocols.
• Adept at working with large datasets and leveraging data warehouses effectively.
• Strong communication skills for presenting complex concepts to diverse audiences.
• A curious and creative approach to problem-solving, driven by data exploration.
• Capability to work collaboratively with both internal teams and external stakeholders.
• Effective multitasking and prioritization in high-pressure, time-sensitive environments.

Educational Background:

• Master’s Degree or Ph.D. in fields such as:
  • Statistics
  • Applied Mathematics
  • Econometrics
  • Economics
  • Operations Research
  • Industrial Engineering
  • Computer Science
  • Physics
• 0–2 years of professional experience as a Data Scientist or in a related quantitative discipline.

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Additional Information

Compensation and Benefits:

• Competitive salary with bonus eligibility.
• Comprehensive benefits package effective from day one, including:
  • 401(k) matching.
  • Tuition assistance programs.
  • Paid bonding leave for new parents (12 weeks at 100%).
  • Discounts on GM vehicles.
  • Paid community service leave.
  • Nine company holidays annually.

Work-Life Balance:

• Flexible hybrid work model, requiring a minimum of two in-office days per week in Fort Worth, Texas.

Culture and Values:

• Employees define and shape a welcoming and innovative workplace culture.
• Emphasis on integrity, inclusivity, and fostering a sense of belonging.
• Encourages employees to thrive beyond professional goals.

Equal Opportunity Commitment:

• GM Financial is an equal opportunity employer, valuing diversity and inclusion at all organizational levels.
• Open to applicants of all backgrounds, ensuring no discrimination based on race, color, gender, religion, or disability.

Accessibility:

• Provides reasonable accommodations for applicants and employees with disabilities.
• Applicants needing accommodations can contact HR via phone or email.

Veterans Welcome:

• Encourages veterans to apply, recognizing their unique contributions and perspectives.

Please click here to apply.

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