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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.

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.

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.

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.

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.

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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