Marketing Mix Optimization – Principal Data Scientist

Mid / Senior

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Meytier Premier Employer

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{"group":"Organization","title":"Marketing Mix Optimization – Principal Data Scientist","skills":"<p><span style=\"color: rgb(35, 31, 32);\">8+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent.</span></p><p><span style=\"color: rgb(35, 31, 32);\">4+ years of experience delivering quantitative decision tools for business applications.</span></p><p><span style=\"color: rgb(35, 31, 32);\">Proven experience turning business problems into rigorous analytic solutions by applying critical thinking and advanced technical &amp; statistical programming techniques.</span></p><p><span style=\"color: rgb(35, 31, 32);\">Expertise in Python with 5+ years of applied experience.</span></p><p>Proficient with one or more optimization modeling packages and solvers (e.</p><p>GAMS/CONOPT, CPLEX, SCIP, Pyomo, SciPy).</p><p><span style=\"color: rgb(35, 31, 32);\">Expertise translating statistical models into scenario planning and optimization and solve non-linear, constrained optimization problems.</span></p><p><span style=\"color: rgb(35, 31, 32);\">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&nbsp;</span></p><p><span style=\"color: rgb(35, 31, 32);\">Strong sense of ownership, relentless curiosity, and self-driven approach to problem solving.</span></p><p><span style=\"color: rgb(35, 31, 32);\">Experience in data and analytics in Banking and Financial Services</span></p><p><span style=\"color: rgb(35, 31, 32);\">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.</span></p><p><span style=\"color: rgb(35, 31, 32);\">Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology.</span></p><p><span style=\"color: rgb(35, 31, 32);\">Master’s degree in operations research, computer science, engineering, mathematics, statistics, or similar quantitative field required&nbsp;</span></p>","endDate":"2026-04-03T05:05:28.066Z","isDraft":false,"jobType":"Full Time","job_url":"2478-citizens-marketing-mix-optimization-principal-data-scientist","agencyId":1,"benefits":"","betaMode":false,"clientId":"35","location":[{"lat":39.9625112,"lon":-83.0032218,"zip":"","city":"Columbus","text":"Columbus, OH, USA","state":"Ohio","country":"United States","is_city":true,"is_state":false,"is_country":false,"state_code":"OH","countryCode":"US","isLocationSet":true,"nearByHexCodes":["842a957ffffffff","842a955ffffffff","842a90bffffffff","842a91dffffffff","842a919ffffffff","842a953ffffffff","842a951ffffffff"],"loc_h3_hex_res4":"842a957ffffffff","isLocationResolved":true}],"eeocFound":false,"maxSalary":"","minSalary":"","startDate":"2026-03-19T05:05:28.066Z","currencyIn":"USD","hiringSPOC":"User / Info not available","hiringTags":[],"onBehalfOf":"49","companyName":"Meytier","description":"<p><span style=\"color: rgb(35, 31, 32);\">We are seeking a Principal Data Scientist with strong analytical and algorithmic skills to optimize our marketing investment strategies. In this role, you will design and build advanced decision support systems that facilitate scenario planning for marketing investment decisions, including constrained optimization solutions that leverage a suite of marketing mix models. You will develop relationships with other data scientists as well as partners in Marketing, Product, Finance and Technology Services to collaboratively deliver transformational optimization capabilities.&nbsp;</span></p><p><strong style=\"color: rgb(35, 31, 32);\">Primary responsibilities include:</strong></p><ul><li><span style=\"color: rgb(35, 31, 32);\">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.</span></li><li><span style=\"color: rgb(35, 31, 32);\">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.</span></li><li><span style=\"color: rgb(35, 31, 32);\">Serve as a technical authority on optimization and decision science, guiding best practices in objective function formulation, constraint design, solver selection, and performance validation.</span></li><li><span style=\"color: rgb(35, 31, 32);\">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.</span></li><li><span style=\"color: rgb(35, 31, 32);\">Build robust, scalable decision support tools that enable repeatable scenario analysis and are suitable for operational use by analytics, marketing and business teams.</span></li><li><span style=\"color: rgb(35, 31, 32);\">Lead the strategic roadmap for marketing optimization capabilities by identifying gaps, prioritizing enhancements, and aligning analytical solutions with evolving business needs.</span></li></ul><p><strong style=\"color: rgb(35, 31, 32);\">Required Skills/Experience:</strong></p><ul><li><span style=\"color: rgb(35, 31, 32);\">8+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent.</span></li><li><span style=\"color: rgb(35, 31, 32);\">4+ years of experience delivering quantitative decision tools for business applications.</span></li><li><span style=\"color: rgb(35, 31, 32);\">Proven experience turning business problems into rigorous analytic solutions by applying critical thinking and advanced technical &amp; statistical programming techniques.</span></li><li><span style=\"color: rgb(35, 31, 32);\">Expertise in Python with 5+ years of applied experience.</span></li><li><span style=\"color: rgb(35, 31, 32);\">Proficient with one or more optimization modeling packages and solvers (e.g. GAMS/CONOPT, CPLEX, SCIP, Pyomo, SciPy).</span></li><li><span style=\"color: rgb(35, 31, 32);\">Expertise translating statistical models into scenario planning and optimization and solve non-linear, constrained optimization problems.</span></li><li><span style=\"color: rgb(35, 31, 32);\">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&nbsp;</span></li></ul><p><strong style=\"color: rgb(35, 31, 32);\">Additional Skills/Experience:</strong></p><ul><li><span style=\"color: rgb(35, 31, 32);\">Strong sense of ownership, relentless curiosity, and self-driven approach to problem solving.</span></li><li><span style=\"color: rgb(35, 31, 32);\">Experience in data and analytics in Banking and Financial Services</span></li><li><span style=\"color: rgb(35, 31, 32);\">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.</span></li><li><span style=\"color: rgb(35, 31, 32);\">Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology.</span></li></ul><p><strong style=\"color: rgb(35, 31, 32);\">Education, Certifications and/or Other Professional Credentials:</strong></p><ul><li><span style=\"color: rgb(35, 31, 32);\">Master’s degree in operations research, computer science, engineering, mathematics, statistics, or similar quantitative field required&nbsp;</span></li></ul><p><br></p>","isHybridJob":false,"isRemoteJob":false,"salaryRange":"","titleSkills":[{"keyword":"marketing mix","node_id":"d30283619","removed":false,"node_ptr":[["meytier_root","information technology","systems engineering","software engineering","operating systems","unix","marketing mix"],["meytier_root","organizational function","go-to-market","marketing"],["meytier_root","information technology","systems engineering","software engineering","software development","software development 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