Jobs · Education · New York

6 months Internship in Strategy & Data Science | New York

Ekimetrics · New York, United States · 2 wk ago
HybridEducation$3k/moInternship

Your Responsibilities

  • Contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services.
  • 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.
  • 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.

What We Offer

  • A monthly stipend of $2,800/mo.
  • Career development and growth opportunities.
  • An emphasis on work-life balance.
  • Annual seminars and retreats.
  • A 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.
  • 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.

Ekimetrics is an Equal Opportunity Employer

We are 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

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