Summer Data Science Associate - US Based Remote

Lensa; Cleveland (OH); Remote; USD 50,000 - 70,000; Full time

Job summary

A leading company is seeking a Summer Data Scientist Associate to work closely with their data science team. The role involves data analysis, machine learning, and collaboration on innovative projects. Ideal candidates are pursuing advanced degrees in relevant fields and have some programming experience.

Qualifications

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

Responsibilities

• Assist in exploring and understanding data, taking ownership of data-related questions.
• Perform ETL processes, aggregations, and feature engineering.
• Collaborate with other data scientists on projects.

Skills

SQL

Python

Effective communication

Statistical knowledge

Machine learning algorithms

Education

Ph.D. in Statistics

Master's in Data Science

Tools

pandas

numpy

scipy

scikit-learn

TensorFlow

Job description

Summer Data Science Associate - US Based Remote

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Lensa is the leading career site for job seekers at every stage of their career. Our client, Anywhere Real Estate, is seeking professionals. Apply via Lensa today!

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 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.

Anywhere Real Estate Inc. (http://www.anywhere.re/) is moving real estate to what's next. Home to some of the most recognized brands in real estate such as Better Homes and Gardens Real Estate, Century 21, Coldwell Banker, Coldwell Banker Commercial, Corcoran, ERA, and Sotheby's International Realty. We fulfill our purpose to empower everyone's next move through our leading integrated services, which include franchise, brokerage, relocation, and title and settlement businesses, as well as mortgage and title insurance underwriter minority-owned joint ventures. We support nearly 1 million home sale transactions annually across more than 118 countries and territories.

Our Culture & Values

At Anywhere, we are empowering everyone’s next move – your career included. What differentiates us is our scale, expertise, network, and business model that positions us as a trusted advisor throughout every stage of the real estate transaction. We pursue talent—strategic thinkers eager to find better ways, focusing on growth, and achieving exceptional results. We value our people-first culture, which thrives on empowerment, innovation, and collaboration. Read more in our Impact Report.

Awards & Recognition

• Great Place to Work
• Forbes World's Best Employers
• Newsweek World's Most Trustworthy Companies
• Ethisphere World's Most Ethical Companies

Additional Details

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