Summer Data Science Associate - US Based Remote

Lensa; San Francisco (CA); Remote; USD 30,000 - 50,000; Full time

Job summary

A leading career site is seeking a Summer Data Scientist Associate to work with their data science team. This role involves data analysis, machine learning, and collaboration on projects, offering hands-on experience in a dynamic environment. Ideal candidates are pursuing advanced degrees in relevant fields and have a passion for data-driven problem solving.

Qualifications

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

SQL

Python

Statistical knowledge

Machine learning algorithms

Effective communication

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 into 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 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, which include franchise, brokerage, relocation, and title and settlement businesses, as well as mortgage and title insurance underwriter minority owned joint ventures. Anywhere supports nearly 1 million home sale transactions annually, with a presence in more than 118 countries and territories.

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

We are proud of our award-winning culture and recognition as a top employer 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

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