Ekimetrics
Business Scientist, Data Science and Marketing Effectiveness
$85K–$93K
New York · Hybrid · Full-time · Posted Apr 17, 2026
- Experience
- 1–3 years in data analysis, modeling, advanced analytics, or econometrics in a business or consulting environment.
- Education
- Bachelor’s or Master’s degree in a quantitative field (e.g., statistics, applied mathematics, computer science, economics, operations research, or MBA).
- Visa sponsorship
- No visa sponsorship or transfer.
About the job
Delivers marketing effectiveness analytics for international clients, building statistical models and translating results into strategic recommendations.
What you'll do
- Analyze data and build and validate statistical models, including regression, econometrics, and Bayesian approaches.
- Engage with clients, frame business questions analytically, and present actionable findings and recommendations.
- Contribute to business growth initiatives and support development of data engineering and architecture capabilities.
What they ask for
- Bachelor’s or Master’s degree in a quantitative field.
- Hands-on experience with MMM/O and strong understanding of marketing measurement.
- Strong statistics or applied mathematics knowledge and experience applying advanced methods to business problems using Python or R.
- Excellent communication skills and demonstrated ability to build client relationships and manage projects.
Pay
USD 85,000–93,333 per year (base salary)
Tools
Python, R, regression, econometrics, Bayesian approaches, Marketing Mix Optimization (MMO)
AI focus
Applies AI and data science to marketing and commercial effectiveness, with a focus on deploying Marketing Mix Optimization solutions.
Model-written summary · the original posting is authoritative