Citizens · 14 hours ago
Marketing Mix Optimization – Principal Data Scientist
Citizens is a growing company looking to enhance its Marketing Analytics team. They are seeking a Principal Data Scientist to optimize marketing investment strategies by designing advanced decision support systems and collaborating with various stakeholders to deliver effective optimization capabilities.
RetailFinanceBankingFinTechPaymentsCredit CardsFinancial Services
Responsibilities
Architect and develop marketing investment optimization frameworks that translate marketing mix models and other analytic outputs into actionable budget allocation and scenario planning across channels, products, markets and time
Design and implement non‑linear, constrained optimization solutions that incorporate real‑world business constraints (e.g., budgets, channel minimums/maximums, pacing, and strategic priorities) to support high‑stakes marketing investment decisions
Serve as a technical authority on optimization and decision science, guiding best practices in objective function formulation, constraint design, solver selection, and performance validation
Partner closely with Marketing, Finance, Product, and Technology stakeholders to frame business questions into well‑defined optimization problems and translate analytical results into clear, decision‑ready recommendations
Build robust, scalable decision support tools that enable repeatable scenario analysis and are suitable for operational use by analytics, marketing and business teams
Lead the strategic roadmap for marketing optimization capabilities by identifying gaps, prioritizing enhancements, and aligning analytical solutions with evolving business needs
Qualification
Required
8+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent
4+ years of experience delivering quantitative decision tools for business applications
Proven experience turning business problems into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques
Expertise in Python with 5+ years of applied experience
Proficient with one or more optimization modeling packages and solvers (e.g. GAMS/CONOPT, CPLEX, SCIP, Pyomo, SciPy)
Expertise translating statistical models into scenario planning and optimization and solve non-linear, constrained optimization problems
A deep understanding of the theory and application of a variety of statistical and machine learning methods and algorithms, including optimization under uncertainty, forecasting, time series analysis, and Bayesian methods
Master's degree in operations research, computer science, engineering, mathematics, statistics, or similar quantitative field required
Preferred
Strong sense of ownership, relentless curiosity, and self-driven approach to problem solving
Experience in data and analytics in Banking and Financial Services
Strong written and verbal communication skills required with an ability to successfully communicate analytic results, insights, and resulting business implications to technical and non-technical audiences
Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology
Benefits
Comprehensive medical, dental and vision coverage
Retirement benefits
Maternity/paternity leave
Flexible work arrangements
Education reimbursement
Wellness programs
Paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States
Company
Citizens
At Citizens, we recognize that the journey to accomplishment is no longer linear and that individuals are made of all they have done and all they are going to do.
H1B Sponsorship
Citizens has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$2B2025-02-26Post Ipo Debt· $750M
2024-07-09Post Ipo Debt· $1.25B
2014-09-23IPO
Leadership Team
Recent News
2026-02-12
2026-02-02
Company data provided by crunchbase