EkimetricsPosted 10mo ago

Junior Business Scientist, Data Science and Marketing Effectiveness

Junior Business Scientist, Data Science and Marketing Effectiveness at Ekimetrics scores 32 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

New YorkjuniorPermanent position$75k

AI in this role

databricks

Ekimetrics is a global leader in Marketing 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 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 Junior Business Scientist in Data Science & Marketing Effectiveness, you will contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing and customer analytics, working closely with Senior Business Scientists and Managers. - Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO) - Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel - Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics. - Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams. - Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations - Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery - Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible - Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science - Actively participate in office meetings, training sessions, and team initiatives - Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment Your Profile Experience & Technical Skills - 0-2 years of professional experience, including internships or graduate placements - Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field - Basic knowledge of Python or R, and other analytics tools; willingness to learn more advanced techniques - Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics - Ability to work with and clean large datasets while maintaining attention to quality - Nice-to-have experience with Databricks, Azure, or MMM exposure - Proficient in Microsoft Office (Excel, PowerPoint, Word) Soft Skills - Analytical mindset, curiosity, and problem solving skills - Ability to work autonomously while being a collaborative team member Strong communication skills to engage with clients and internal teams - Interest in business challenges, marketing strategy, and results-oriented thinking Positive attitude, resilience, and sense of humor