Data Science Intern

About the Role

Key Responsibilities

• Hands-on experience in Databricks to quantitatively study and explore member data to track and analyze member behavior
• Work on highly scalable ML models and algorithms in data mining, Natural Language Processing modeling, web scraping, and modeling topics using generative AI large language models
• Present results of research and analysis using data visualization techniques to broader audiences within or outside the company

Requirements

• Must be enrolled in a degree program at an accredited college/university, rising undergraduate juniors or seniors, graduate students, or post-doctoral students, and remain academically enrolled throughout the internship
• Pursuing a degree in computer science, statistics, science, technology, engineering, mathematics, marketing, operations research, or related fields
• Proficiency in Spark, Databricks, AWS, and generative AI tools such as ChatGPT, Google Gemini, etc.
• Technical fluency in Pyspark (preferred), Python/Pandas, and SQL
• Some experience (professional or college-level) dealing with big data
• Strong organizational and communication skills, with the ability to build stories and narratives out of data
• Ability to work under tight deadlines and manage multiple projects
• Comfort working across multiple business teams, including technical and non-technical partners

Nice to Have

• Experience with cloud environments, cluster optimization, and usage
• Experience with ML libraries like TensorFlow, PyTorch, etc.
• Eagerness to learn new technologies

Qualifications

• Enrolled in a relevant degree program and pursuing a degree in a related field

Benefits & Perks

• Hourly range of $18 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates
• Internships are non-exempt positions and are not eligible for employee benefits
• Hybrid work environment with remote work days on Mondays and Fridays within the United States and its territories