Senior Data Scientist: Strategy, Models & Impact

Ally Bank; United States; Hybrid; USD 110,000 - 180,000; Full time

Job summary

Ally Financial is seeking a highly skilled Data Scientist for the Auto Finance team to conduct complex analytics projects and surface actionable insights for business strategy. You will mentor developing analytics professionals and collaborate across analytics and data science teams to scale capability and drive measurable outcomes.

The role focuses on data-driven decision making, experimentation, and building robust data solutions within a Cloud computing context as Ally advances its analytics

Qualifications

• 7+ years of relevant experience.
• Bachelor's degree in quantitative/technical discipline.
• Significant experience (5+ years) in analytics, data science, machine learning, or applied statistics with a track record of independently delivering production-impacting work and measurable business impact.
• Advanced knowledge of statistics and experiment design.
• Ability to design, execute, and interpret controlled experiments with focus on translating findings into business decisions.
• Excellent written and verbal communication skills; able to tailor narratives and technical details to executives, cross-functional partners, and engineering audiences.

Responsibilities

• Partner with strategy, operations, and business leaders to transform ambiguous questions into data-driven solutions that drive measurable outcomes.
• Communicate findings and recommendations clearly to technical and non-technical audiences and influence decision-making at multiple levels by making holistic recommendations with considerations for risks, tradeoffs, and blind spots.
• Design, execute, and interpret experiments and analyses to evaluate business strategy changes and quantify impact.
• Build robust, scalable models and analytical solutions; document thoroughly; and implement automated monitoring aligned with Model Risk Management standards.
• Benchmark challenger models and perform rigorous validation (back testing, stability, fairness, and drift) with monitoring and clear acceptance criteria.
• Productionize models and analytics pipelines in collaboration with data and implementation teams, ensuring reliability, observability, and reproducibility.
• Build reliable, documented data pipelines and features from enterprise sources; transform and curate datasets to support analysis, ad-hoc exploration, and model development.
• Develop high-quality data assets: feature stores, standardized metrics definitions, actionable dashboards, and monitoring for model and data quality.
• Own end-to-end project delivery: define problem statements, create project plans, align stakeholders, manage risks, and deliver outcomes on time.
• Manage projects of various size/complexity, day-to-day tasks, and priorities independently.
• Create strong partnerships with key partners, understand organizational goals, and shape roadmaps to support achieving them.
• Establish and promote best practices in modeling, code quality, and experimentation; mentor via code reviews and knowledge sharing (without direct reports).
• Proactively identify and learn new data sources, tools, methodologies, and approaches to improve performance and accelerate delivery.

Skills

SQL

Python

AWS

Cloud development tools

Data science

Machine learning

Communication skills

Education

Bachelor's degree in quantitative/technical discipline

Master's degree in quantitative/technical discipline

Tools

Git

Power BI

R

Job description

Ally Financial is seeking a highly skilled Data Scientist for the Auto Finance team to conduct complex analytics projects and surface actionable insights for business strategy. You will mentor developing analytics professionals and collaborate across analytics and data science teams to scale capability and drive measurable outcomes.

The role focuses on data-driven decision making, experimentation, and building robust data solutions within a Cloud computing context as Ally advances its analytics