Sr Specialist Data Science - ML

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 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?

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.

At Ally, you get a startup feel, but experience the benefits of a company that has worked out the kinks and is fulfilling its purpose. We are always evolving and see that as a good thing. From owning our work to seeing its impact in the real world, our team is relentless in finding new ways technology can help make experiences better and help people.

We are problem solvers, we value diverse thinking, we support one another, and we challenge ourselves to think bigger in the journey to deliver customer‑obsessed tech solutions.

In this role, you will lead the development and deployment of cutting‑edge machine learning and generative AI/agent solutions that drive business transformation. You will design and implement advanced models 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 to ensure our AI systems are robust, responsible, and deliver measurable impact.

• Build and manage experimentation initiatives, leveraging A/B testing and novel AI 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, generative AI and agentic systems.
• Incorporate sophisticated algorithms, experimental design, emerging AI methodologies to solve real‑world challenges and push the boundaries of innovation.
• Identify and champion new business opportunities by proposing and delivering innovative AI‑driven solutions that create tangible value and competitive advantage.

• 3+ Years of experience in machine learning and data science.
• Bachelor’s degree or equivalent experience.
• Strong coding skills in Python and SQL.
• Experience with machine learning frameworks (e.g., Tensor Flow, PyTorch) and relevant libraries (e.g., Scikit‑learn, Pandas).
• Solid understanding of statistical analysis, data modeling, and experimental design (A/B testing).
• Strong problem‑solving skills and a focus on delivering measurable business impact.
• Ability to collaborate effectively with cross‑functional teams and communicate technical concepts to non‑technical stakeholders.
• Preferred:
  Graduate’s degree.
• Preferred:
  Experience with Git Hub and repositories.
• Preferred:
  Experience with Data Robot and AWS Sage Maker.
• Preferred:
  Familiarity with agile methodologies and project management tools.
• Preferred:
  Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
• Preferred:
  Experience with generative AI models and agentic systems (e.g., LLMs, prompt engineering).
• Preferred:
  Understanding responsible AI principles, including ethics, bias mitigation, and security considerations, governance frameworks, or model risk management, especially in a finance setting.

• Time Away:
  Program starts at 20 paid time…