Junior Business Scientist, Data Science and Marketing Effectiveness

New York City, NY (On-site)

Salary Not AvailableIntern/New Grad2+ years expFull time

Posted 4 weeks ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Own the data prep, modeling, and storytelling for MMM/MMO projects with a focus on clean data, regression and Bayesian methods, and client-ready dashboards, while growing your analytics toolkit and client-facing skills.

  • Data & Modeling: wrangle data from multiple sources and run basic to intermediate statistical models used in MMM/ MMO.
  • Client Delivery: translate insights into actionable recommendations and deliver polished client deliverables.
  • Learning & Growth: pursue certifications and participate in knowledge-sharing to elevate the analytics stack.

Job Description

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
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-have
  • Nice-to-have experience with Databricks, Azure, or MMM exposure
Benefits
  • 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
  • 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
Ekimetrics logo

Ekimetrics

4.0 Glassdoor

Ekimetrics transforms how organizations make critical business decisions. Through AI-powered Managed Solutions, we help companies build sustained competitive advantage. Our solutions combine the Eki.Decisions platform with embedded experts who bring 20 years of experience in marketing, commercial effectiveness, and data science, connecting decisions across business domains to drive scalable, lasting impact. With 500+ experts across three continents, Ekimetrics delivers measurable results through responsible and sustainable AI. Visit us at ekimetrics.com.

Founded in 2006
Paris, Île-de-France, FRA
523 employees (15 in marketing)
87% recommend to a friend
95% CEO approval

Traffic Signals

Monthly Visitors
18.3K
Traffic Source Mix
Search
71.8%
Direct
17%
Referral
4.6%
Social
1.3%
Paid
3.7%

Headcount Trend

Current headcount: ~523

Marketing Team

Marketing Team Size
15 (3% of company)
Marketing Roles Posted (Last 30 Days)
9

Funding

Total Funding
$28.6M
Last Raise
$28.6M
Series Unknown, 6 years ago

Funding History

  • Nov 2020
    Series Unknown • $28.6M
  • Nov 2016
    Seed

Recent News