AI-powered marketing effectiveness and decision platform
Ekimetrics combines a data science platform (Eki.Decisions) with embedded consulting expertise, built on Python, R, SQL, and Azure cloud infrastructure. The hiring mix is heavily data-skewed (21 of 44 roles), with projects centered on marketing mix modeling and optimization — indicating the company is scaling delivery of advanced analytics rather than expanding into new product lines. Active pain points around customer segmentation and marketing spend optimization suggest their clients are wrestling with ROI attribution across channels.
Ekimetrics is a Paris-based data science and AI consulting firm serving mid-market and enterprise clients across three continents. The company delivers two interconnected offerings: the Eki.Decisions platform (a decision-support tool for marketing effectiveness and commercial strategy) and managed consulting services staffed by statisticians, econometricians, and data scientists. Core expertise spans marketing mix modeling, CRM analytics, digital measurement, and strategic optimization. The company operates a services-plus-platform model, where data engineers and scientists are distributed across client engagements and internal product development.
Core languages: Python, R, SQL. Cloud: Azure (Data Factory, Logic Apps, Entra ID), AWS, GCP. Analytics/BI: Power BI, Databricks, LightGBM, PyMC. Frontend: React, Angular, Node.js. Data: MongoDB, PySpark. Development: Git, Jira, VS Code.
Active focus on marketing mix modeling programs, marketing effectiveness optimization, new platform development (data science and AI), and user testing via Maze. Secondary initiatives include new account development and emerging solutions launches.
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