Junior Business Scientist, Data Science and Marketing Effectiveness

Ekimetrics•New York, NY

32d•$75,000 - $75,000

About The Position

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.

Requirements

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
Proficient in Microsoft Office (Excel, PowerPoint, Word)
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

Nice To Haves

Nice-to-have experience with Databricks, Azure, or MMM exposure

Responsibilities

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

Benefits

Career development and growth opportunities
An emphasis on work-life balance and 20 PTO days per year and holidays
Annual seminars and retreats
Close knit team with friendly environment, bi-monthly team events and more
Work closely with senior analysts and managers to develop technical, analytical, and client-facing skills.
Receive mentoring and coaching, with structured career progression from Junior Business Scientist, Business Scientist, Senior Business Scientist, Manager and more.
The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses.
Gain exposure to international clients, multiple industries, and projects with real business impact.
Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative.

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