Junior Business Scientist, Data Science and Marketing Effectiveness

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

• 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)

• 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

75000 - 75000 USD a year

• Salary determined by many factors; base estimate $75,000 in NYC.
• Comprehensive benefits package, generous bonus package, dynamic promotions and salary raise structure.
• Work‑life balance emphasis with 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.
• Mentoring and coaching with structured career progression:
  Junior Business Scientist → Business Scientist → Senior Business Scientist → Manager and more.
• Eki.
  
  Academy training catalogue: learning paths, solution‑ and role‑specific programs, and Climate School environmental awareness courses.
• Exposure to international clients, multiple industries, and projects with real business impact.
• Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative.

Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, 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.