Sr Marketing Science Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid work is available for candidates within commuting distance of hubs in Bloomington, Illinois; Dunwoody, Georgia; Tempe, Arizona; or Richardson, Texas. Candidates outside commuting distance may be considered for 100% remote work based on their current location. Applicants must be eligible to work lawfully in the United States immediately; visa sponsorship is not available.
Salary: $90,000–$145,000 yearly, with potential incentive pay of up to 15% of base salary. Separate ranges apply to Colorado, Hawaii, Washington State, California, New York, and Connecticut candidates.
Company
is an insurance and financial services company focused on helping customers, investing in communities, and improving customer experiences through technology.
What you will do
- Define analytical questions, outcomes, populations, metrics, assumptions, and test requirements with business partners.
- Guide experiment intake, prioritization, design, feasibility assessment, and measurement approaches.
- Design, execute, and evaluate incrementality tests to inform marketing decisions and calibrate attribution models.
- Develop and validate synthetic controls and other counterfactuals using geo-level outcomes, media activity, and market conditions.
- Apply statistical modeling and causal inference to estimate lift, assess marketing performance, and inform investment choices.
- Partner with business teams, agencies, vendors, and technology teams; improve analytical practices, apply AI responsibly, lead strategic work, and mentor analysts.
Requirements
- Experience in marketing analytics, marketing science, data science, experimentation, or another quantitative field, with a solid statistics background and understanding of causal identification issues.
- Ability to analyze complex data, collaborate across teams, and explain methods, assumptions, and results to varied audiences.
- Proficiency in SQL, Python, R, SAS, or comparable programming and querying languages.
- Experience using AI-assisted development tools such as Claude Code, Codex, Copilot, or similar tools for analytical code, including reviewing and testing their output.
- Ability to design evaluations for models and AI-generated outputs using holdout data, labeled samples, error analysis, or similar methods.
- Ability to turn business questions into analytical specifications covering the question, population, self-selection biases, metric, and assumptions.
- Master’s degree in a related field.
Nice to have
- Experience with attribution models and incrementality methods, including geo experiments, matched markets, and synthetic controls, plus the ability to assess statistical power, test validity, and counterfactual quality.
- Experience working with marketing agencies, analytics vendors, enterprise technology, or data and AI teams.
- Experience with Databricks, AWS, GCP, or other cloud data platforms.
- Experience applying LLMs, embeddings, or similarity methods to marketing data with measured performance.
- Knowledge of responsible AI practices, including governed-data handling and communicating model outputs.
- Experience leading complex cross-functional work or mentoring analysts.
Culture & Benefits
- Regular full-time employment based on a standard 38:45-hour work week.
- Hybrid work combines home and office work; eligible candidates outside hub commuting distance may be considered for fully remote arrangements.
- Health, dental, vision, telemedicine, mental health, and wellbeing programs, with paying most of the healthcare premium.
- Training, tuition assistance, employee resource groups, mentoring, financial coaching, paid holidays, parental leave, and time off policies.
- 401(k) plan with company contributions of up to 7% of salary, annual raises, bonuses, and additional family and community support programs.
Hiring process
- Apply through the career site; the application deadline is expected to be November 13, 2026, subject to early closure or extension.
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