Data Science Intern
United States - Remote
K1X
The only AI-powered platform that streamlines alternative investment data. AI Automation Software for K-1s, K-3s and 990s.Data Science Intern - Remote Opportunity- Chicago or Indianapolis
Duration: This is a 6-month internship position, full-time June- August (Summer Break) and part-time until November 15th. Must be avaliable during the full time frame.
Who We Are:
K1X is a dynamic and innovative company specializing in applying AI-driven document understanding to extracting insights from tax documents. As a leader in our industry, we are dedicated to providing exceptional opportunities for growth and development. Join us in shaping the future of tax reporting in the investment industry. Learn more at www.k1x.io.
Your Role:
As a Data Science Intern at K1X, you'll play a crucial role in assisting our data science team in leveraging technology to extract insights from tax documents. Collaborating closely with experienced data scientists and engineers, you'll contribute to projects aimed at optimizing tax processes through the implementation and utilization of cutting-edge technologies.
Your Responsibilities:
- Assist in understanding project requirements and objectives in collaboration with the data science team.
- Aid in data collection, cleaning, and preprocessing tasks to prepare data for analysis.
- Contribute to the development and implementation of data engineering solutions to optimize data pipelines and workflows.
- Refactor existing codebase to improve efficiency, readability, and maintainability.
- Conduct exploratory data analysis to uncover patterns, trends, and insights in tax documents.
- Support in building and fine-tuning machine learning models for predictive analytics and classification tasks.
- Assist in the deployment and testing of machine learning models in production environments.
- Document work processes, methodologies, and results effectively.
Requirements
- Currently pursuing a Masters or PhD in a quantitative field such as Mathematics, Physics, Statistics, Data Science, Computer Science, or a related field.
- Proficiency in Python programming language and associated libraries (such as NumPy, Pandas, Matplotlib, and Scikit-learn).
- Experience with NLP libraries such as NLTK or spaCy.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to work independently and collaboratively in a fast-paced environment.
It's Truly a Match If You Have:
In addition to the above, we're looking for candidates who have:
- Familiarity with machine learning concepts and techniques.
- Previous experience with data analysis and visualization tools.
- Interest in applying data science techniques to solve real-world problems.
Benefits
- Hands-on experience in a real-world data science environment.
- Mentorship from experienced data scientists and engineers.
- Opportunity to work on diverse projects and gain exposure to cutting-edge technologies.
- Networking opportunities within the industry.
- Potential for future full-time employment or recommendation.
Join us and embark on a rewarding journey where you can apply your skills and creativity to make a meaningful impact. If you are passionate about data science and eager to learn, we want to hear from you! Apply now to become part of our team.
Tags: Classification Computer Science Data analysis Data pipelines EDA Engineering Machine Learning Mathematics Matplotlib ML models NLP NLTK NumPy Pandas PhD Physics Pipelines Python Scikit-learn spaCy Statistics Testing
Perks/benefits: Career development
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