Business Scientist, Data Science and Marketing Effectiveness

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 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 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 Partnership & Business Impact:

• Autonomously engage with clients on a day-to-day basis to deeply understand their business context and objectives.

• Parameterize business questions into analytical 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.