Data Science Intern, Rocket Lawyer

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• Strong understanding of statistical concepts and data analysis techniques
• Proficiency in at least two of the following programming languages: R, Python, and SQL
• Familiarity with database systems and SQL for querying and manipulating data
• Excellent problem-solving and analytical skills with a keen attention to detail
• Strong communication and collaboration skills
• A proactive and self-motivated approach with a willingness to learn and contribute to a fast-paced environment
• A genuine interest in Artificial Intelligence and Natural Language Processing

Desirable

• We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide
• We are expanding our team to take on this challenge!
• We are seeking a motivated and enthusiastic Data Science Intern to join our AI team and contribute to the improvement of our products
• This internship offers a unique opportunity to work with real-world AI data, directly impacting the user experience and the efficiency of our AI systems
• You will be involved in analyzing customer feedback, identifying areas for enhancement, optimizing our data collection processes, and building automated workflows to streamline our data science operations
• Candidates will work across engineering, data, and product teams, ensuring that data has high utility, quality, diversity, and volume
• Reports to: Principal Product Manager
• Analyze large datasets of customer feedback to identify key trends, user pain points, and areas where the chatbot can be improved
• Develop metrics and dashboards to monitor chatbot performance and track the impact of implemented changes
• Conduct exploratory data analysis to uncover valuable insights from interactions
• Collaborate with product and engineering teams to translate data-driven insights into actionable improvement areas for our AI product
• Assist in evaluating and improving our existing data pipelines for collecting and storing data
• Contribute to the design and implementation of more efficient and reliable data ingestion processes
• Work with different data sources and formats to ensure data quality and consistency
• Develop and implement automated workflows for data processing, analysis, and reporting using scripting languages
• Explore opportunities to automate repetitive tasks and improve the efficiency of our data team
• Contribute to the development of tools and scripts to support the team's data collection activities
• Duration: June 9, 2025 - August 15, 2025, working 37.5 hours per week

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview