Remote Data Scientist Intern

Job Description

Data Scientist Intern | Jobright.ai

The Tone:
This is a Remote Data Scientist Intern internship at Jobright.ai. Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a Data Scientist Intern, you will analyze job seeker behavior and product performance, build analytical models, and present actionable insights to improve the user experience. Your contributions will offer high ownership and impact, directly shaping how people experience AI-driven job search.

The TL;DR
• Role: Internship
• Location: Remote, United States

• Mission: This person will analyze job seeker behavior, job data, and product performance to build analytical models and provide actionable insights that improve the user experience and product.
• Tech Stack: Python, SQL, pandas, scikit-learn, notebooks, data visualization tools

What You’ll Actually Do
• Analyze: Analyze job seeker behavior, job data, and product performance to identify key trends.
• Evaluate: Define metrics and design experiments to evaluate the effectiveness of product changes.
• Develop: Build analytical models, create dashboards, and establish reporting workflows for data insights.
• Improve: Investigate opportunities to enhance recommendations, search relevance, and user engagement within the product.
• Communicate: Present findings clearly and make actionable recommendations to improve the user experience.

The Must-Haves
• Background: Entry-Level. Currently pursuing a degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
• Experience: Experience with Python and SQL. Ability to work independently in a remote environment.
• Skills: Understanding of statistics, experimentation, and data analysis. Ability to translate ambiguous questions into structured analysis. Strong written communication.
• Bonus: Experience with machine learning, NLP, recommendation systems, or experimentation. Familiarity with pandas, scikit-learn, notebooks, or data visualization tools. Experience working with large or messy datasets. Interest in responsible use of data and AI in career products. Previous research, internship, or analytics project experience.