Principal Data Scientist at Citizens Financial Group

Job description

Join Citizens' growing Marketing Analytics team and help shape marketing strategy through data-driven insights. The Marketing Analytics team within the Enterprise Marketing team helps measure and improve marketing performance across products, channels, geographies, and customer segments. The team provides analytical support across the marketing lifecycle, including campaign planning, testing, measurement, optimization, and forecasting. As a Principal Marketing Mix Model & Optimization Developer , you will build and maintain Marketing Mix Models (MMM) to measure the impact of marketing investments on business outcomes and develop optimization frameworks to support marketing budget allocation and scenario planning across products, channels, markets, and time. This role requires close collaboration with Marketing Analytics, marketing stakeholders, and cross-functional partners. The ideal candidate combines strong statistical and technical expertise with a passion for solving complex business problems, applying innovative analytical approaches, and translating insights into actionable recommendations. Strong communication skills, intellectual curiosity, and a commitment to continuous learning are essential. Primary responsibilities include: • Build, maintain, validate, and enhance Marketing Mix Models (MMM) across product lines to measure the short- and long-term impact of marketing investments on business outcomes using Python and SQL. • Develop marketing attribution insights and key performance metrics, including marketing contribution, cost per incremental acquisition, and return on marketing investment (ROMI). • Partner with Marketing Analytics and marketing stakeholders to generate actionable insights and identify opportunities to improve marketing effectiveness and investment performance. • Develop and implement optimization solutions for budget allocation, scenario planning, and resource optimization using tools such as Pyomo, SciPy, or similar frameworks. • Communicate analytical methodologies, insights, and recommendations effectively to both technical and non-technical audiences. • Location Preference: Candidates located in the Greater Boston MA, Columbus OH, Charlotte NC, New York NY or Chicago IL are preferred. Required Skills/Experience: • 8+ years of experience in quantitative analytics, marketing analytics, statistical modeling, or related fields. • 5+ years of experience developing analytical solutions using Python and SQL. • 3+ years of experience building Marketing Mix Models (MMM) or similar advanced analytics solutions. • Strong expertise in time series modeling, Bayesian methods, and regression modeling. • Proven ability to solve complex business problems using statistical modeling and data-driven analysis. • Experience developing, testing and deploying optimization solutions to support business strategy and decision-making using Pyomo, SciPy, or similar frameworks. • Strong communication skills with the ability to translate analytical insights into clear business recommendations. • Demonstrated ability to influence decisions and drive business outcomes through data and analytics. Additional Skills/Experience: • Strong foundation in statistical modeling and analytics, including regression, time series analysis, ANOVA, decision trees, clustering, and other quantitative techniques. • Experience designing and solving linear and nonlinear optimization models using 3 rd party solvers like Gurobi, CPLEX, IPOPT, and KNITRO. • Experience applying data and analytics within Banking or Financial Services. • Experience with model governance, including model documentation, validation, and risk management requirements. • Strong written and verbal communication skills, with the ability to translate analytical insights into clear business implications for technical and non-technical audiences. • Collaborative team player with experience working across analytics, data engineering, technology, and business teams. • Demonstrated ownership, intellectual curiosity, and a proactive approach to solving complex business problems. Education, Certifications and/or Other Professional Credentials: • Bachelor’s Degree in statistics, computer science, engineering, mathematics, operations research or similar quantitative field required; master’s degree preferred Pay Transparency The salary range for this position is $149,000-$194,000 per year, plus an opportunity to earn additional incentive earnings (if applicable). Actual pay is based on various factors including, but not limited to, the budget, work location, and relevant skills and experience. No other portions of the posting are changing, including benefits language or incentive guidance. 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 jobs.citizensbank.com .

Requirements

Must-haves

Join Citizens' growing Marketing Analytics team and help shape marketing strategy through data-driven insights.
Build, maintain, validate, and enhance Marketing Mix Models (MMM) across product lines to measure the short- and long-term impact of marketing investments on business outcomes using Python and SQL.
Develop marketing attribution insights and key performance metrics, including marketing contribution, cost per incremental acquisition, and return on marketing investment (ROMI).
Partner with Marketing Analytics and marketing stakeholders to generate actionable insights and identify opportunities to improve marketing effectiveness and investment performance.
Develop and implement optimization solutions for budget allocation, scenario planning, and resource optimization using tools such as Pyomo, SciPy, or similar frameworks.
Communicate analytical methodologies, insights, and recommendations effectively to both technical and non-technical audiences.
8+ years of experience in quantitative analytics, marketing analytics, statistical modeling, or related fields.
5+ years of experience developing analytical solutions using Python and SQL.
3+ years of experience building Marketing Mix Models (MMM) or similar advanced analytics solutions.
Strong expertise in time series modeling, Bayesian methods, and regression modeling.
Proven ability to solve complex business problems using statistical modeling and data-driven analysis.
Experience developing, testing and deploying optimization solutions to support business strategy and decision-making using Pyomo, SciPy, or similar frameworks.
Strong communication skills with the ability to translate analytical insights into clear business recommendations.
Demonstrated ability to influence decisions and drive business outcomes through data and analytics.
Strong foundation in statistical modeling and analytics, including regression, time series analysis, ANOVA, decision trees, clustering, and other quantitative techniques.
Experience designing and solving linear and nonlinear optimization models using 3 rd party solvers like Gurobi, CPLEX, IPOPT, and KNITRO.
Experience applying data and analytics within Banking or Financial Services.
Experience with model governance, including model documentation, validation, and risk management requirements.
Strong written and verbal communication skills, with the ability to translate analytical insights into clear business implications for technical and non-technical audiences.
Collaborative team player with experience working across analytics, data engineering, technology, and business teams.
Demonstrated ownership, intellectual curiosity, and a proactive approach to solving complex business problems.
Education, Certifications and/or Other Professional Credentials:

Nice-to-haves

Location Preference: Candidates located in the Greater Boston MA, Columbus OH, Charlotte NC, New York NY or Chicago IL are preferred.
Bachelor’s Degree in statistics, computer science, engineering, mathematics, operations research or similar quantitative field required; master’s degree preferred

Application prep

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Keywords to mirror

pythonsql

Platform: oracle-cloud
Effort: medium

Benefits

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Dental

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Paid Time Off

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