Principal Data Scientist - GenAI Development & Solutioning

Ally

United States

United States

À propos

General information
Ref #
22440
Remote?
No
Ally and Your Career
Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?
The Opportunity
As a leader in digital financial services, our customer and employee experiences run on data. We depend on the Ally analytics community to fuel these journeys and to help nearly 10,000 leaders and employees make countless data-driven decisions every day. Our analytics community has hundreds of analytics professionals across Ally in communities focused on business analytics, data science, R, Python, Power BI and more and continues to grow every day. As you read this, our Technology and Digital organization is deploying our new Cloud Computing platform to accelerate and expand our digital capability.
We're looking for a highly skilled Principal Data Scientist with technical expertise and GenAI knowledge for our Auto Consumer Strategy & Analytics group. This candidate will report to the Data Science Director, with responsibilities of supporting initiatives across GenAI/LLM solutioning, model development & governance, vendor selection, and emerging generative AI innovations. This candidate will also partner with business stakeholders, technology teams, and risk partners to deliver high-quality GenAI solutions and tools, and ensure responsible, effective deployment of AI solutions. Successful candidates should have hands-on experience with data and modeling, while demonstrating strong communication skills and the ability to influence a complex organization.
Do you have a focus on measurable business outcomes, strong analytical skills, and a desire to make an impact? If you are a creative and critical thinker, storyteller, learner and innovator and want to work in an environment focused on using data science and big data tech, keep reading.
The Work Itself
In this role, you will lead the development and deployment of cutting-edge generative AI/agent solutions that drive business transformation. You will design and implement advanced GenAI tools utilizing experimentation, multi-modal data, and the latest AI techniques to solve complex problems and unlock new opportunities. As a technical expert and innovator, you will collaborate closely with cross-functional teams and partner with external GenAI vendors/providers to ensure our AI systems are robust, responsible, and deliver measurable impact. You will also lead the architectural design and development of state-of-the-art machine learning, generative AI, and agent systems that enhance user experience, drive revenue, and ensure operational excellence.
Key Responsibilities
Develop/Implement/Test AI solutions for the Consumer Auto organization, including supporting vendor-developed Agentic AI models and its governance
Leverage novel approaches to continuously improve model performance and business outcomes
Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment
Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems
Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage.
The Skills You Bring
Minimum Qualifications
Bachelor’s Degree in Quantitative/Technical Discipline (Mathematics, Computer Science, Data Science/Analytics, Economics)
Minimum 5 years of data science / quantitative modeling work experience, with hands-on experience working with large datasets (including text); practical experience with deploying LLMs highly preferred
Preferred Qualifications
Proven experience designing and implementing predictive models, Generative AI, and agentic systems, with a track record of developing novel AI approaches to boost model performance
Strong foundational knowledge of responsible AI practices, including the integration of data governance, ethical AI considerations, and security protocols throughout the model-development lifecycles
Experiences of partnering with GenAI vendors and external technology team to deliver GenAI solutions
Master's degree or higher in a quantitative field
Deep expertise in statistics and exploratory data analysis (EDA), paired with the ability to establish trustworthy benchmarks and operational performance monitoring for deployed models
Strong knowledge in programming languages of Python, SQL
Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders
Highly self-motivated and adaptable, with a proven ability to deliver high-quality results in a fast-paced, rapidly evolving environment
#DFS
How We'll Have Your Back
Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. But Ally’s total compensation - or total rewards - extends beyond your paycheck and is designed to support and enrich your personal and professional life, including:
Time Away: competitive holiday and flexible paid-time-off, including time off for volunteering and voting.
Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan and 529 educational assistance programs, tuition reimbursement, and other financial well-being programs.
Supporting your Health & Well-being: flexible health and insurance options including dental and vision, pre-tax Health Savings Account with employer contributions and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.
Building a Family: adoption, surrogacy, and fertility support as well as parental and caregiver leave, back-up child and adult/elder day care program and childcare discounts.
Work-Life Integration: other benefits including LifeMatters® Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.
Who We Are:
Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit www.ally.com.
Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law.
Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered, if not currently employed by Ally.
We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at work@ally.com. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation.
Base Pay Range:
An individual's position in the range is determined by the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer.
Emerging:
110000
Experienced:
145000
Expert:
180000
Incentive Compensation: This position is eligible to participate in our annual incentive plan

United States

Compétences linguistiques

English

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