Summer Data Science Associate - US Based Remote

Lensa; Tampa (FL); Remote; USD 60,000 - 80,000; Full time

Job summary

Lensa, a leading career site, is seeking a Summer Data Science Associate to join their data science team. This role involves hands-on experience in data collection, processing, statistical analysis, and model development, providing an excellent opportunity to learn and grow in the field of data science.

Qualifications

• Currently pursuing a Ph.D. (1-2 years) or Master's in relevant fields.
• Some experience in building end-to-end models in Python preferred.

Responsibilities

• Explore and understand data, taking ownership of data-related questions.
• Perform ETL processes, aggregations, and feature engineering.
• Write Python code for visualizations and models.
• Collaborate with data scientists and share knowledge.
• Communicate results to non-technical stakeholders.
• Understand IT infrastructure for model deployment.

Skills

Proficiency in SQL

Proficiency in Python

Basic statistical knowledge

Machine learning knowledge

Effective communication skills

Ability to learn and adapt

Education

Ph.D. or Master's in Statistics, Data Science, Mathematics, Economics

Tools

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

TensorFlow

Job description

Summer Data Science Associate - US Based Remote

Be among the first 25 applicants. Lensa, a leading career site, is seeking a Summer Data Science Associate to work with our data science team on business problems through data analysis and machine learning. Gain hands-on experience in data collection, processing, statistical analysis, and model development.

Responsibilities

• Explore and understand data, taking ownership of data-related questions.
• Perform ETL processes, aggregations, and feature engineering.
• Write Python code for visualizations and models.
• Collaborate with data scientists and share knowledge.
• Communicate results to non-technical stakeholders.
• Understand IT infrastructure for model deployment.

Experience

• Currently pursuing a Ph.D. (1-2 years) or Master's in Statistics, Data Science, Mathematics, Economics, or related fields.
• Some experience in building end-to-end models in Python preferred.

Skills

• Proficiency in SQL and Python (pandas, numpy, scipy, scikit-learn).
• Basic statistical and machine learning knowledge; deep learning is a plus.
• Familiarity with Linear Regression, GLM, Random Forest, GBM, XGBoost, SVM, Neural Networks; Python packages like TensorFlow are a plus.
• Effective communication skills.
• Ability to learn and adapt.