Principal - Data Scientist - AI

Position: Principal - Data Scientist - Responsible AI
Work Location(s)601 S. Tryon Street, NC

Work Schedule:

Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.

As a leader in digital financial services, our customer and employee experiences are powered by data and AI. Our cloud-based data, analytics, and GenAI platform enables thousands of employees to make data-driven decisions every day. We are seeking skilled Data Scientists to support enterprise initiatives spanning machine learning, generative AI, and Responsible AI, helping deliver solutions that drive revenue, enhance user experience, and ensure AI systems operate safely and  this role, you will build, test, and deploy machine learning, generative AI, and agent-based solutions end to end.

You will develop GenAI workflows such as prompt-driven systems, tool-calling agents, and evaluation pipelines, while also owning Responsible AI execution across the lifecycle. This includes identifying and resolving issues related to data usage, bias, model risk, evaluation quality, and release readiness. You will partner closely with business, engineering, and risk teams to turn Responsible AI requirements into practical development and validation standards, ensuring AI solutions are production-ready, compliant, and scalable.
* At this time, Ally will not sponsor a new applicant for employment authorization for this position.*### The Skills You Bring

Required:

* 5+ years of experience in machine learning and data science, with demonstrated impact in applied, real-world systems.
* Bachelor’s degree in a quantitative or technical field (Computer Science, Engineering, Mathematics, Statistics, or similar).
* Strong coding skills in Python, with experience building maintainable, production-grade ML/AI systems.
* Experience working in cloud data and ML platforms such as AWS, Snowflake, Sage Maker, or equivalent environments.
* Experience influencing technical direction beyond individual projects, including setting best practices, mentoring others, and driving alignment across teams.
* Ability to proactively identify risks and gaps in AI systems (e.g., reliability, bias, safety, explainability, monitoring) and drive pragmatic solutions e-to-Haves:
* Graduate degree (MS or PhD) in a relevant field.
* Hands-on GenAI, agent, and ML engineering experience, including frameworks and tools such as Lang Chain, Hugging Face, vector databases, or similar ecosystems.
* Experience with Responsible AI, Model Risk Management, or AI governance in regulated environments.
* Experience helping build or mature Responsible AI practices.
* Proven ability to work with multiple partners and drive consensus on technical direction, standards, and trade-offs across diverse stakeholders.#LI-Hybrid Incentive Compensation:
This position is eligible to participate in our annual incentive plan.

Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including:
* ** Time Away:
** Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level).
* ** 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 pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access.
* ** Supporting your Health & Well-being:
*…