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NEXTMOVEFDE careers · United States
Ekimetrics

Business Scientist, Data Science and Marketing Effectiveness

AI summary of the role

This role focuses on deploying Marketing Mix Optimization (MMO) solutions for blue-chip clients, combining data science with business consulting.

What you’ll do

  • Independently apply statistical techniques (regression, econometrics, Bayesian) to build and validate models for marketing effectiveness.
  • Engage directly with clients to understand business context, parameterize analytical problems, and deliver actionable insights.
  • Present findings and battle plans to senior executives, contributing to client decision-making and trust.
  • Take ownership of analytical problem-solving from data preparation to insight generation across 1-3 concurrent projects.

What you’ll bring

  • Bachelor's or Master's in quantitative field (statistics, applied math, CS, economics, operations research, or MBA).
  • 1-3 years experience in data analysis, modeling, advanced analytics, or econometrics in business/consulting.
  • Hands-on experience with MMM/O and strong understanding of marketing measurement.
  • Proficiency in Python or R for applying advanced methodologies like regression analysis.

Technologies

Python · R · regression analysis · econometrics · Bayesian · Marketing Mix Optimization · MMM

Source and classification

Deployment strategy · Evidence for this classification:

analytics projects for international blue-chip clients across diverse industries, delivering bespoke solutions and high-impact insights to senior executives. Your role will focus on Marketing Science, particularly the deployment of our Marketing Mix Optimization (MMO) offering through analytics services while maximizing client value and impact. Working in teams of 3 to 6 across 1 to 3 project simultaneously, you will be involved from discovery and data exploration to statistical mdoeling and translating insights into clear, strategic recommendations. You will continuously grow technical expertise and business acumen, with opportunities to take on operational leadership on client engagements and collaborate closely with Managers and Partners. Your responsibilities will include: Data Analysis & Modeling Autonomy: Independently apply statistical techniques and best data practices to
More from the job description

Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing & commercial effectiveness, Customer analytics, Operational excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA. Your responsibilities As a Business Scientist at Ekimetrics, you will work on complex analytics projects for international blue-chip clients across diverse industries, delivering bespoke solutions and high-impact insights to senior executives. Your role will focus on Marketing Science, particularly the deployment of our Marketing Mix Optimization (MMO) offering through analytics services while maximizing client value and impact. Working in teams of 3 to 6 across 1 to 3 project simultaneously, you will be involved from discovery and data exploration to statistical mdoeling and trans [... source excerpt omitted ...] y grow technical expertise and business acumen, with opportunities to take on operational leadership on client engagements and collaborate closely with Managers and Partners. Your responsibilities will include: Data Analysis & Modeling Autonomy: Independently apply statistical techniques and best data practices to progress project work end-to-end. Build and validate models (e.g., regression, econometrics, Bayesian approaches) while ensuring data quality and robustness. Translate complex analyses into clear, actionable insights by combining data with business and industry context. Take ownership of analytical problem-solving, from data preparation to insight generation. Client Pa [... source excerpt omitted ...] ytical problem statements and deliver ad-hoc analyses to advance projects. Confidently present findings and “battle plans” alongside the team, contributing to decision-making and client trust. Act as a reliable point of contact on defined workstreams, ensuring quality, rigor, and relevance. Growth, Ownership & Ekimetrics Life: Proactively contribute to Ekimetrics’ growth through initiatives such as Thought Leadership, Knowledge Management, Recruitment, or Culture & Diversity. Support the development of data engineering and architecture capabilities within the office as skills mature. Continuously develop technical and business expertise through hands-on learning and forma

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