Role Overview
At Internmo, 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.
- Communicate Findings: Translate complex statistical outputs and model results into clear, actionable business insights.
Requirements
- Passionate about machine learning and eager to learn.
- 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
- Machine Learning
- SQL
Benefits
- Remote & Flexible work schedule.
- Real Portfolio Projects to show future employers.
- Direct Mentorship from the core team.
- Certificate of completion and a letter of recommendation.