Principal Data Scientist

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 PrincipalMarketing 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.