Principal Data Scientist- Decisioning

Citizens; Columbus (OH); Híbrido; USD 149.000 - 194.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision coverage

Retirement benefits

Maternity/Paternity leave

Flexible work arrangements

Education reimbursement

Wellness programs

Descripción de la vacante

Citizens in Columbus, OH is seeking a Principal Data Scientist to design, build, and improve quantitative models that strengthen customer relationships, improve decision quality, and drive measurable business outcomes.

The role leads development of statistical, machine learning, and causal inference solutions from problem definition to deployment, with emphasis on experimentation and governance across cross-functional teams.

Formación

• Master's degree in statistics, economics, engineering, computer science, or related quantitative field; PhD preferred.
• 10+ years of experience applying advanced analytics and delivering models through full lifecycle.
• Deep knowledge of statistical modeling, causal inference, and experimental design.
• Experience estimating heterogeneous treatment effects and incremental value with experiments and uplift modeling.
• Strong Python and SQL skills with large, complex datasets.
• Experience with cloud platforms (preferably AWS) and ML services like SageMaker.
• Ability to balance rigor, interpretability, and business usefulness; strong communication.
• Financial services experience and familiarity with customer analytics desired.

Responsabilidades

• Lead development of statistical, ML, and causal inference solutions from problem definition through deployment and monitoring.
• Evaluate targeting and decision performance using experimentation and counterfactual analysis.
• Develop methods for incremental impact, treatment effects, and heterogeneous response.
• Translate business objectives into defensible analytical problems and measurable outcomes.
• Partner with data science, marketing, product, finance, risk, and technology teams to productionize models.
• Synthesize findings into a clear story and recommended actions for diverse audiences.
• Communicate assumptions, tradeoffs, limitations, and recommendations; maintain documentation.
• Guide continuous improvement of analytic systems using experimental results and observed behavior.

Educación

Master's degree in statistics, economics, engineering, computer science, or related quantitative field

PhD preferred

Herramientas

Python

SQL

AWS

SageMaker

Descripción del empleo

Description

The Enterprise Data & Analytics organization is seeking a Principal Data Scientist to design, build, and improve quantitative models that strengthen customer relationships, improve decision quality, and drive measurable business outcomes.

In this role, you will:

• Lead the development of statistical, machine learning, and causal inference solutions from problem definition through deployment, monitoring, validation, and continuous refinement.

• Evaluate targeting and decision performance using experimentation, counterfactual analysis, quasi-experimental techniques, and observational data to improve customer and business outcomes.

• Develop methods that estimate incremental impact, treatment effects, and heterogeneous customer response to support more effective and economically sound decisions.

• Translate ambiguous business objectives into defensible analytical problems, measurable outcomes, analytical requirements, and practical implementation plans.

• Partner with data science, marketing, product, finance, risk, data, and technology teams to integrate models into governed business processes and production decision systems.

• Synthesize analytic findings into a clear and approachable story and set of recommended actions, reducing complexity as appropriate for different audiences.

• Communicate assumptions, tradeoffs, limitations, and recommendations clearly while maintaining appropriate documentation, controls, and ownership.

• Guide the continuous improvement of analytical systems by incorporating experimental results, operational outcomes, and observed customer behavior into future models and targeting strategies.

• A successful incumbent will have:

• Master’s degree in statistics, economics, engineering, computer science, or a related quantitative field; PhD preferred.

• 10+ years of experience applying advanced analytics and delivering models through the full development lifecycle, including deployment, monitoring, governance, and ongoing improvement.

• Deep knowledge of statistical modeling, causal inference, and experimental design, with a demonstrated ability to improve decision quality and targeting through estimation and counterfactual reasoning.

• Experience estimating heterogeneous treatment effects and incremental value using randomized experiments, causal machine learning, quasi-experimental techniques, uplift modeling, and contextual bandits to support customer-level personalization and decisioning.

• Experience designing, executing, and evaluating experiments, including randomization strategy, holdouts, guardrails, outcome measurement, and causal interpretation of results.

• Strong Python and SQL skills (with 5+ years of applied experience each), including experience building reproducible analytical pipelines and working efficiently with large, complex datasets.

• Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker.

• Ability to balance analytical rigor, interpretability, implementation complexity, and business usefulness under evolving priorities.

• Strong stakeholder-management and communication skills, including the ability to explain complex analytical, experimental, and causal concepts in clear, unambiguous language.

• Financial services experience and familiarity with related customer-level behavior, profitability, personalization, and relationship analytics preferred.

Hours & Work Schedule

• Hours per Week: 40

• Work Schedule: Monday - Friday

• Hybrid: 4 days per week onsite and 1 day remote

  Pay Transparency

The salary range for this position is $149,000 - $194,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.

We offer competitive pay , comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits

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Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Why Work for Us

At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

10/30/2026