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Ekimetrics · 2 weeks ago

6 months Internship in Strategy & Data Science | New York

New York, United States

Internship

Onsite

Intern

$2,800/mo - $2,800/mo

0+ years exp

Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions, specializing in optimizing marketing and operations. As an intern, you will contribute to analytics projects for international clients, gaining hands-on experience in marketing and customer analytics while working closely with Senior Business Scientists and Managers.

AnalyticsBig DataConsultingInformation TechnologyMarketing

Growth Opportunities

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

Qualification

PythonRStatistical modelingSQLData cleaningMicrosoft OfficeAnalytical mindsetCuriosityProblem solvingCommunicationTeam collaboration

Required

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