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

Job Type:

• Technology

Job Mode:

• Hybrid (Remote/On-Site)

Job Requisition ID:

• 48541

Years of Experience:

• 0-2 years in a Data Scientist or similar quantitative field

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Company Description

• GM Financial is the wholly owned captive finance subsidiary of General Motors, headquartered in Fort Worth, Texas.

• As a global leader in auto finance solutions, GM Financial operates in North America, South America, and the Asia Pacific region.

• The company collaborates with auto dealers to offer diverse retail financing and leasing programs tailored to meet customer needs.

• Additionally, GM Financial supports dealer growth through commercial lending products.

• GM Financial values innovation and integrity, fostering a workplace culture built on community, belonging, and new ideas.

• Its mission is to pioneer innovations that connect people to what matters.

• Employees are encouraged to thrive in a purpose-driven environment that values their contributions.

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Profile Overview

• The Data Scientist I will play a critical role in designing, developing, deploying, and maintaining advanced predictive, prescriptive, and statistical models.

• The role emphasizes areas such as originations, collections, risk, pricing, fraud, customer experience, and marketing.

• Responsibilities include utilizing expertise in forecasting, optimization, data mining, and analysis to analyze complex datasets.

• Conducting advanced studies using descriptive and supervised machine learning methods and statistical techniques is a key responsibility.

• The position also involves summarizing and presenting findings to internal stakeholders and collaborating with different departments to align with company objectives.

• The role requires producing research and analysis to quantify portfolio performance influenced by internal and external factors.

• As a subject matter expert, the Data Scientist I must possess an in-depth understanding of quantitative methodologies and knowledge of data tools and sources.

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Responsibilities

Key Duties:

• Conduct research, analysis, and modeling on organizational data to derive actionable insights.

• Analyze key performance metrics and perform data analysis to identify trends and opportunities.

• Build technical expertise in advanced data techniques and algorithms to enhance research and analytical capabilities.

• Lead research projects involving project design, data collection, analysis, and summarizing findings.

• Develop and apply algorithms or models to address critical business metrics and challenges.

• Present findings and analytical results in a clear and impactful manner for decision-making purposes.

• Ensure that deliverables meet the company's business needs and objectives.

• Collaborate with business leaders to provide recommendations on analytics applications and communicate findings effectively.

• Manage priorities and adhere to project deadlines in a fast-paced environment.

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Qualifications

Key Skills:

• Strong foundation in mathematics, probability, and statistics with demonstrated quantitative and analytical skills.

• Expertise in applied methodologies, including:

  • Least squares regression

  • Logistic regression

  • Sampling methodologies

  • Time series analysis

  • Survival analysis

  • Cluster analysis

  • Decision trees

  • Principal components

  • Linear programming techniques

• Proficiency in programming languages and tools such as Python, SAS, SQL, R, JMP, Excel, Word, and PowerPoint.

• Ability to design and implement robust model documentation and monitoring protocols.

• Experience with technical systems, datasets, data warehouses, and data analysis techniques.

• Capable of handling large datasets efficiently.

• Strong written and verbal communication skills, with the ability to simplify complex concepts for senior management.

• Curious and creative mindset to explore data and address business problems effectively.

• Proven ability to collaborate with internal and external stakeholders.

• Adept at managing multiple projects and meeting deadlines in a high-pressure environment.

Educational Requirements:

• Master’s Degree or Ph.D. in fields such as:

  • Statistics

  • Applied Mathematics

  • Econometrics

  • Economics

  • Operations Research

  • Industrial Engineering

  • Computer Science

  • Physics

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Additional Info

Benefits:

• Comprehensive benefits package available on the first day of employment:

  • 401K matching

  • Bonding leave for new parents (12 weeks, 100% paid)

  • Tuition assistance

  • Extensive training opportunities

  • GM employee auto discounts

  • Community service pay

  • Nine company holidays annually

Company Culture:

• GM Financial fosters a workplace culture that welcomes innovative ideas and values integrity.

• Employees experience a sense of belonging and community.

• The company supports employee growth, allowing team members to thrive while contributing to meaningful work.

Work-Life Balance:

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

Compensation:

• Competitive salary with bonus eligibility.

Inclusivity:

• GM Financial is committed to diversity and inclusion, offering equal opportunities regardless of race, color, age, gender, national origin, religion, sexual orientation, gender identity, veteran status, or disability.

• The company provides accommodations for applicants and employees with disabilities. For assistance, contact Human Resources at 1-866-411-4748 or HRConnection@gmfinancial.com.

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Veterans:

• Veterans are encouraged to apply and will find a supportive environment at GM Financial.

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Please click here to apply.

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