Sr Specialist Data Science - ML

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?

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.

The Opportunity

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. To read more about what our tech team does, be sure to visit our tech blog h

As a leader in digital financial services, our customer and employee experiences run on data. Our cloud-based data, analytics, and AI platform fuel these journeys and help nearly 10,000 leaders and employees make countless data-driven decisions every day. Our data scientists develop ML solutions that help generate revenue, enhance user experience, and ensure that state-of-the-art GenAI systems run safely and securely.

We are seeking highly skilled Data Scientists to join our growing team. This role will support enterprise initiatives across machine learning model development, Responsible AI, governance, and emerging generative AI innovations. You will partner with business stakeholders, technology teams, and risk partners to deliver high-quality ML solutions and tools, and ensure responsible, effective deployment of AI solutions.

Successful candidates will be hands-on with data and modeling, while also demonstrating strong communication skills and the ability to influence across a complex organization.

At this time, Ally will not sponsor a new applicant for employment authorization for this position.

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.

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.

• 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, GenAI and agentic systems.
• Incorporate sophisticated algorithms, experimental design, and 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.

Required Qualifications

• 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
• Experience with Git Hub and…