Summer Data Science Associate - US Based Remote

Lensa; Chicago (IL); Remote; USD 52,000 - 78,000; Full time

Job summary

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

Qualifications

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

Responsibilities

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

Skills

Proficiency in SQL

Proficiency in Python

Statistical knowledge

Machine learning algorithms

Effective communication skills

Ability to learn new skills

Education

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

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 challenges.

Anywhere Real Estate Inc. (http://www.anywhere.re/) (NYSE: HOUS) is moving real estate to what's next. Home to some of the most recognized brands in real estate, including 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, including 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, with a presence in over 118 countries and territories worldwide.

At Anywhere, we are empowering everyone’s next move – your career included. We differentiate ourselves through our scale, expertise, network, and unique business model that position us as a trusted advisor at every stage of the real estate transaction. We pursue talent—strategic thinkers eager to find better ways, relentlessly focused on growth, and committed to exceptional results. We value our people-first culture, which thrives on empowerment, innovation, and collaboration. Learn more in our Impact Report.

We are proud of our award-winning culture and recognition as a top employer by organizations such as:

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

EEO Statement: EOE including disability/veteran.

Seniority level

• Internship

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting