Summer Data Science Associate - US Based Remote

Lensa; Philadelphia (Philadelphia County); Remote; USD 60,000 - 80,000; Full time

Job summary

A leading company is seeking a Summer Data Scientist Associate to join their data science team. This internship offers hands-on experience in data analysis and machine learning, where you will work on real business problems. Ideal candidates are pursuing advanced degrees in relevant fields and possess programming skills in Python and SQL. This role provides an opportunity to collaborate with experienced professionals and contribute to impactful projects.

Qualifications

• Currently pursuing a Ph.D. (1-2 years in the program) or a Master's degree.
• Some experience in building end-to-end models in Python preferred.
• Familiarity with techniques such as Linear Regression, Random Forest, and Neural Networks.

Responsibilities

• Assist in exploring and understanding data, taking ownership of data-related questions.
• Perform ETL processes and feature engineering.
• Write Python code to create visualizations and implement models.

Skills

SQL

Python

Statistical knowledge

Machine learning algorithms

Effective communication

Adaptability

Education

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

Tools

pandas

numpy

scipy

scikit-learn

TensorFlow

Job description

Summer Data Science Associate - US Based Remote

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Job Title: Summer Data Scientist Associate

Summary of Role:

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 Master's degree 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 challenges.

Anywhere Real Estate Inc. (http://www.anywhere.re/) (NYSE: HOUS) is moving real estate to what's next. Home to recognized brands like Better Homes and Gardens Real Estate, Century 21, Coldwell Banker, Coldwell Banker Commercial, Corcoran, ERA, and Sotheby's International Realty, we empower everyone's next move through our leading services. We support nearly 1 million home sale transactions annually across more than 118 countries.

At Anywhere, we are empowering everyone’s next move – your career included. We pursue talent—strategic thinkers eager to find better ways, focus on growth, and achieve exceptional results. We value a people-first culture rooted in empowerment, innovation, and collaboration. Learn more in our Impact Report.

We are recognized as an employer of choice by organizations like Great Place to Work, Forbes, Newsweek, and Ethisphere.

Additional Details

• Seniority level: Internship
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting