Principal Data Scientist
About The Position
Join Citizens’ growing Marketing Analytics team and help shape marketing strategy through data-driven insights. The Marketing Analytics team within Enterprise Marketing measures and improves marketing performance across products, channels, geographies, and customer segments, supporting 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 for marketing budget allocation and scenario planning across products, channels, markets, and time. The role involves close collaboration with Marketing Analytics, marketing stakeholders, and cross-functional partners. The ideal candidate brings strong statistical and technical expertise, applies innovative analytical approaches to complex business problems, and translates insights into actionable recommendations. Strong communication skills, intellectual curiosity, and a commitment to continuous learning are essential. Candidates located in Greater Boston, Columbus, Charlotte, New York, or Chicago are preferred. The salary range is $149,000–$194,000 per year, plus an opportunity to earn additional incentive earnings, if applicable. Actual pay depends on factors including budget, work location, and relevant skills and experience.
Requirements
- At least 8 years of experience in quantitative analytics, marketing analytics, statistical modeling, or related fields.
- At least 5 years of experience developing analytical solutions using Python and SQL.
- At least 3 years of experience building Marketing Mix Models 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 and ability to translate analytical insights into clear business recommendations.
- Demonstrated ability to influence decisions and drive business outcomes through data and analytics.
- Bachelor’s degree in statistics, computer science, engineering, mathematics, operations research, or a similar quantitative field.
- Collaborative approach and ability to work across analytics, data engineering, technology, and business teams.
- Demonstrated ownership, intellectual curiosity, and a proactive approach to solving complex business problems.
Nice To Haves
- Master’s degree.
- 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 third-party solvers such as 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.
Responsibilities
- Build, maintain, validate, and enhance Marketing Mix Models 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 Pyomo, SciPy, or similar frameworks.
- Communicate analytical methodologies, insights, and recommendations effectively to technical and non-technical audiences.
- Influence decisions and drive business outcomes through data and analytics.
Benefits
- Competitive pay
- Comprehensive medical coverage
- Dental coverage
- Vision coverage
- Retirement benefits
- Maternity and paternity leave
- Flexible work arrangements
- Education reimbursement
- Wellness programs
- Paid time off policy exceeding mandatory paid sick or paid time-away policies in every local and state U.S. jurisdiction
- Opportunity to earn additional incentive earnings, if applicable
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What This Job Offers
Job Type
Full-time
Career Level
Principal
