Why you should consider joining :
About Reacher : We're the #1 TikTok Shop partner helping brands like Under Armour, Hanes, HeyDude, and Logitech scale their affiliate marketing. We've crossed 7 figures in ARR and are looking to raise a seed round and double our team by this year. Our vision is to become the Hubspot for creator marketing, powering brands and creators to connect and grow across all commerce platforms like Youtube Shopping, Instagram Shopping, Shopify, and Amazon. Reacher will be a key infrastructure component of the creator economy. Personally, I find the space and our company exciting because we have the opportunity to implement AI for the creator economy with the largest brands and creators in the world. Your work will directly impact users on day 1. We have a highly responsive user base that depends on our product day in and day out.
What you'll do as a Fall Data Science Intern :
- Build predictive models and recommendation systems that directly improve creator-brand matching and campaign performance.
- Analyze user behavior, campaign effectiveness, and market trends to drive product decisions and strategy.
- Develop machine learning pipelines for real-time creator scoring, fraud detection, and performance optimization.
- Work with large-scale data from TikTok Shop, affiliate networks, and social platforms to extract actionable insights.
- Create data visualizations and dashboards that help internal teams and clients understand campaign ROI and creator performance.
- Collaborate with engineering to productionize models and deploy ML systems at scale.
- Conduct A / B tests and statistical analyses to measure feature impact and optimize user experiences.
- Work with a high sense of urgency - we analyze fast, experiment fast, and scale insights quickly.
You're a fit if :
You're pursuing a degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field.You have experience with Python, SQL, and data analysis libraries (pandas, numpy, scikit-learn, matplotlib / seaborn).You've completed coursework or projects in statistics, machine learning, and data analysis.You've worked with real datasets and can handle messy, large-scale data.You care about turning data insights into business impact, not just running models.You've demonstrated analytical thinking through coursework, research, or personal projects.You're resourceful and comfortable with ambiguity. You figure things out from incomplete data.You're available for a 10-12 week Fall internship (Sept - Dec 2025).Bonus points if :
You've had a previous data science or analytics internship at a startup or tech company.You have experience with cloud platforms (GCP, AWS) and big data tools (BigQuery, Spark).You're familiar with deep learning frameworks (TensorFlow, PyTorch) or have worked on NLP / computer vision projects.You've built end-to-end ML pipelines or deployed models to production.You're curious about creator economy, e-commerce analytics, or social media data - we work in that space.You've contributed to Kaggle competitions, published research, or built data-driven side projects.Why join us for your Fall internship :
Unlike most internships, you'll work on production ML models and analytics that directly impact millions in revenue.You'll get autonomy and ownership - no data cleaning busy work, real insights and model development.Your models and analyses will influence business decisions within days, not months.You'll receive mentorship from experienced data scientists while having real responsibility for key metrics.You'll experience the full startup journey and shape not just the data strategy but also the company.Strong performers will receive return offers for full-time data science positions.