Business Scientist, Data Science and Marketing Effectiveness

Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI‑powered solutions. Since 2006, we’ve helped businesses optimize marketing and operations by combining AI with business and tech expertise across four domains: Marketing & commercial effectiveness, Customer analytics, Operational excellence, and 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.

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 projects simultaneously, you will be involved from discovery and data exploration to statistical modeling 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.

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.
• Parameterise 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.

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 formal training.
• Live and promote Ekimetrics’ values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment.

Your Profile

• Bachelor’s or Master’s degree in a quantitative field (e.g., statistics, applied mathematics, computer science, economics, operations research, or MBA) with 1–3 years of experience in data analysis, modeling, advanced analytics, or econometrics in a business or consulting environment.
• Strong passion for data, deep knowledge of statistics or applied mathematics, and hands‑on experience applying advanced methodologies (e.g., regression analysis) to solve business problems using tools such as Python or R.
• Hands‑on experience with MMM/O and strong understanding of marketing measurement.
• Excellent communication abilities, particularly in translating complex technical analyses into clear, actionable insights and compelling stories for diverse stakeholders.
• Demonstrated team‑oriented mindset, management experience, and the ability to develop talent, build high‑performing teams, and manage projects with strong delivery discipline.
• Proven ability to build lasting client relationships across industries, enthusiasm for joining a growing firm, and a desire to contribute to business growth.

Why join us

At Ekimetrics, your ideas truly matter. We embrace an entrepreneurial spirit, encouraging you to push boundaries to achieve meaningful impact. Collaboration and continuous learning are core to our culture, with personalized career paths, mentorship, and diverse perspectives. We value authenticity and enjoyment in the workplace. In 2023, we achieved “mission‑driven company” status and were certified Great Place to Work in France, the United Kingdom, and the United States. Our office in Hong Kong received the Best Companies to Work for in Asia 2023 award. We are part of the French Tech 120 ranking, reflecting our potential to become an international leader.

What We Offer

• Base salary for the NYC office estimated between $85,000 and $93,333, depending on professional background, experience, and skill set.
• A comprehensive benefits package, generous bonus program, and a dynamic promotion and salary structure.
• The Eki.Academy training catalog, digital learning platform, and Climate School focused on environmental issues.
• A dynamic environment with strong culture and well‑located offices.
• A close‑knit team with bi‑monthly team events.
• Client exposure up to executive level.
• A modern office just off Wall Street with best‑in‑class amenities.
• Emphasis on work‑life balance, 20 days of PTO with 11 annual holidays in a flexible hybrid work environment.
• Opportunities for international mobility across our offices in Paris, London, Hong Kong, and Shanghai.

Equal Employment Opportunity

Ekimetrics offers equal employment opportunities to all, regardless of gender, ethnicity, religion, sexual orientation, social status, disability, or age. We strive to develop an inclusive work environment that reflects diversity within our teams.

Visa Sponsorship

Please note that we do not offer visa sponsorship or transfer for this position.

Hiring Process

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.