Summer Data Scientist Associate — ML & Analytics Hands-On

Feedinkoo: Remote Jobs; United States; Remote; USD 45,000 - 75,000; Full time

Job summary

Feedinkoo seeks a Summer Data Scientist Associate to work with the data science team on business problems through data analysis and machine learning. You will gain hands-on experience collecting and processing data, performing statistical analysis, and developing ML models to support business decisions.

You will write Python code for visualizations and models, perform ETL tasks, and collaborate across projects while communicating results to non-technical stakeholders.

Qualifications

• Proficiency in SQL and Python programming languages (pandas, numpy, scipy, scikit‑learn, etc.).
• Basic understanding of statistical knowledge and machine learning algorithms. Exposure to deep learning is a plus.
• Familiarity with techniques such as Linear Regression, GLM, Random Forest, GBM, XGBoost, SVM, and various segmentation methods. Knowledge of Neural Networks and proficiency in Python packages (TensorFlow, etc.) are nice to have.
• Effective communication skills.
• Ability to learn new skills and adapt to new challenges.

Responsibilities

• Assist in exploring and understanding data, taking ownership of data-related questions.
• Perform ETL (Extract, Transform, Load) processes, aggregations, and feature engineering.
• Write Python code to create visualizations and implement models.
• Collaborate with other data scientists on projects, sharing knowledge and learning from the team.
• Be open to innovative ideas and alternative problem‑solving approaches.
• Communicate and present results to non‑technical stakeholders.
• Understand IT infrastructure to ensure models can be implemented in production environments.

Skills

SQL

Python

Data analysis

Machine learning

Communication

Education

PhD student or Master’s in Statistics/Data Science/Math/Economics

Tools

Pandas

NumPy

SciPy

Scikit-learn

TensorFlow

Job description

Feedinkoo seeks a Summer Data Scientist Associate to work with the data science team on business problems through data analysis and machine learning. You will gain hands-on experience collecting and processing data, performing statistical analysis, and developing ML models to support business decisions.

You will write Python code for visualizations and models, perform ETL tasks, and collaborate across projects while communicating results to non-technical stakeholders.