Data Science Intern

Role Overview

At GenesectAi, we're doing things differently. This isn't a traditional job or a standard internship—it’s an open collaboration program designed for aspiring data scientists to gain hands-on, real-world experience. If you are self-taught, a student, or transitioning careers, this is a space for you to work on actual business challenges, build your machine learning portfolio, and learn by doing alongside our team.

Responsibilities

• Process & Prep Data: Clean, preprocess, and engineer features from messy, real-world datasets.
• Explore & Analyze: Conduct Exploratory Data Analysis (EDA) to uncover hidden patterns, trends, and correlations.
• Train & Test Models: Build, tune, and evaluate foundational machine learning algorithms (e.g., regression, classification, clustering).
• Communicate Findings: Translate complex statistical outputs and model results into clear, actionable business insights.

Requirements

• Passionate about machine learning and eager to learn (no specific degree required).
• Solid grasp of Python or R, including standard data libraries.
• Familiar with foundational statistics, probability, and basic predictive modeling.
• Curious, driven, and comfortable asking questions.

Nice to Have

• Experience with Deep Learning, NLP, or SQL.
• Experience building end-to-end projects.

Skills

• Python
• Pandas
• Scikit-learn
• SQL
• Machine Learning

Benefits

• Remote & Flexible: Contribute from anywhere, on a schedule that works for you.
• Real Portfolio Projects: Leave with end-to-end data science projects to show future employers.
• Direct Mentorship: Get honest feedback and guidance from our core team.
• Proof of Impact: A certificate of completion and a strong letter of recommendation.