Data Science Intern

Description:

What You’ll Do
 

• Data Scince Interns transform millions of impressions and unstructured data from our digital properties into powerful insights that help us deepen connections between brands and consumers.
• Use advanced machine learning, statistical modeling, and optimization techniques to build real-world solutions for online and offline decision-making
• Own data science projects from start to finish with limited guidance
• Collect and mine data from disparate data sources, digging deeper to understand the process behind the data
• Communicate effectively with business and data science leaders on project status, timeline and technical results
• Translate business opportunities into data science problems, clearly defining project scope + performance metrics to measure success
• We don’t believe in busywork, and we definitely don’t believe in wasting time or talent on “getting coffee.” As a Red Ventures Intern, you’ll be expected to contribute new ideas, take ownership of meaningful projects, and make a real impact on our business.
• Typically, RV Interns receive an in-depth onboarding experience and participate in 1-2 large projects over the summer. With guidance from your mentors, you’ll drive strategy, build tests, pivot, improve, and iterate until finally presenting results to your business team and RV senior leadership at the end of the summer.
• Our culture is built on feedback, and our Interns are no different. You’ll receive two structured performance reviews over the summer, where your manager will work with you to identify key strengths, opportunities, and goals. Top-performing interns will be eligible for full-time offers at the end of the summer.
   

What We’re Looking For
 

• Graduating Winter 2024 or Summer 2025 with a relevant PhD or Masters equivalent
• Summer 2024 start date
• Experience solving complex problems through the use of predictive modeling
• Extensive experience in querying and processing data from complex relational databases
• Extensive training and knowledge in machine learning, statistical modeling and/or optimization.
• Expertise in deep learning, NLP, reinforcement learning, LLM, recommended systems preferred
• Demonstrated ability to synthesize data into actionable insights and communicate recommendations to leadership
• Solid interpersonal and communication skills, with a track record of working well with business stakeholders
• Knowledge of digital attribution and digital data investigation and testing skills is preferred
• Statistical programming knowledge (e.g., R or Python) is required