Summer Data Science Associate – US Based Remote at Lensa

Feedinkoo; United States; Remote; USD 34,440 - 48,216; Full time

Job summary

Feedinkoo is seeking a Summer Data Scientist Associate to collaborate with the data science team on addressing business challenges through data analysis and machine learning. In this role, you will gain hands-on experience in data collection, processing, and developing models that support business decisions.

The ideal candidate is pursuing a PH.D. or a Master's in a related field and has some experience in Python. Proficiency in SQL and a basic understanding of statistical and machine learning concepts are necessary.

Qualifications

• 1-2 years in the PH.D. program or a Master's in related analytical discipline.
• Some experience in building end-to-end models in Python (preferred).

Responsibilities

• Assist in exploring and understanding data.
• Perform ETL processes and feature engineering.
• Write Python code for visualizations and models.
• Collaborate with other data scientists.
• Present results to non-technical stakeholders.
• Understand IT infrastructure for model implementation.

Skills

Proficiency in SQL

Python programming (pandas, numpy, scipy, scikit-learn)

Basic understanding of statistical knowledge

Machine learning algorithms knowledge

Effective communication skills

Ability to learn new skills

Education

Currently pursuing a PH.D. or a Master's in Statistics, Data Science, Mathematics, Economics

Job description

Job Title

Summer Data Scientist Associate

Summary

As a Summer Data Scientist Associate, you will work closely with our data science team to address business problems through data analysis and machine learning. You will gain hands‑on experience in collecting and processing data, performing statistical analysis, and developing machine learning models to support business decisions.

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.

Experience

• Currently pursuing a PH.D. (1-2 years in the program) or a Masters in Statistics, Data Science, Mathematics, Economics, or a related analytical discipline.
• Some experience, including internships, in building end‑to‑end models in Python (or similar language) is preferred.

Skills

• 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.

EEO Statement: EOE including disability/veteran.