Data Science Intern

About the Role

We are seeking a motivated Data Science Intern to join our cross-functional Data Science team. This role offers hands-on exposure to media analytics, product innovation, and applied machine learning in a fast-paced advertising technology environment.

You will support client-facing analytics projects, assist with model configuration and deployment, and gain real-world experience translating data into actionable insights. This internship is ideal for someone eager to learn, comfortable asking questions, and excited to contribute to meaningful projects from day one.

Key Responsibilities

Applied Data Science & Experimentation

• Support the design and analysis of experiments including lift studies, A/B tests, and causal inference methods.

• Assist with model evaluation, performance monitoring, and diagnosing model drift.

• Contribute to audience modeling, segmentation, and scoring projects under senior DS guidance.

• Gain exposure to how data science products are deployed and measured in client environments.

Model Configuration & Deployment Assistance

• Learn to build and adapt configurations for existing modeling products (e.g., audience scoring, bid modifiers).

• Assist with data pipeline tasks, sampling logic, and feature transformations.

• Shadow engineers and product managers to understand how prototypes become production tools.

Product Feedback & Learning

• Document edge cases, performance issues, and potential feature improvements encountered during projects.

• Participate in team discussions around model interpretability, automation, and monitoring.

• Contribute to research and experimentation cycles with support from senior team members.

Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.

• Foundational knowledge of statistics, machine learning concepts, and experimentation principles.

• Proficiency in Python and SQL for data analysis and modeling; familiarity with Databricks, AWS Sagemaker, or other cloud compute platforms is a plus.

• Strong communication skills with the ability to explain technical concepts in simple terms.

• Curiosity, adaptability, and a willingness to learn in ambiguous situations.

• Interest in digital advertising, media, or marketing technology.

Preferred Experience

• Coursework or projects involving causal inference, A/B testing, or media measurement.

• Exposure to data tools such as Pandas, Scikit-learn, or Jupyter notebooks.

• Familiarity with advertising concepts (impressions, CTR, CPM) or digital campaign workflows.

• Any prior internship, research, or project experience in analytics or data science.

What You'll Gain

• Mentorship from experienced data scientists and ML engineers.

• Real-world experience with client-facing analytics in the advertising industry.

• Exposure to production ML systems, data pipelines, and cross-functional collaboration.