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EkimetricsPosted 96mo ago
6 months Internship in Strategy & Data Science | New York at Ekimetrics scores 30 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
New YorkinternInternship
AI in this role
databricks
Your Responsibilities As an intern at Ekimetrics, 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
Your ProfileExperience & 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 fieldBasic 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
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