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Ekimetrics

Junior Business Scientist, Data Science and Marketing Effectiveness

Ekimetrics, New York, New York, us, 10261

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Ekimetrics is a global leader in MarketingEffectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: MarketingEffectiveness, CustomerAnalytics, OperationalExcellence, 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 visualisations 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 modelling, 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 humour

$75,000 - $75,000 a year

What We Offer At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is $75,000. In addition to this base salary, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure.

Career development and growth opportunities

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

Eki.Academy training catalogue: learning paths, solution‑ and role‑specific programmes, 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

Why Join Us? At Ekimetrics, your ideas truly matter. We embrace an entrepreneurial spirit, encouraging you to push boundaries while thriving in a collaborative environment. We believe in enjoying what we do and fostering a safe, inclusive space where you can bring your authentic self.

In 2023, Ekimetrics obtained “mission‑driven company” status, reflecting our commitment to CSR.

Our purpose: Accelerate organisations’ transformation towards sustainability through data science and AI.

We are proud to have been certified Great Place to Work© in France, the UK, and the US, with our Hong Kong office recognised as Best Companies to Work for in Asia 2023©. Ekimetrics is also part of the French Tech 120, selected among the top French scale‑ups with potential for international leadership.

Position Type: Permanent

Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, colour, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.

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

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