Summer Data Science Associate - US Based Remote

Lensa; Miami (FL); Remote; USD 25,000 - 35,000; Full time

Job summary

A leading company is seeking a Summer Data Scientist Associate for a remote internship. The role involves working closely with the data science team to tackle business problems through data analysis and machine learning. Candidates will gain hands-on experience in data processing, statistical analysis, and model development. Ideal for those pursuing advanced degrees in analytical disciplines, this position offers a collaborative environment and opportunities for innovation.

Qualifications

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

Responsibilities

• Assist in exploring and understanding data.
• Perform ETL processes and feature engineering.
• Write Python code for visualizations and models.

Skills

Proficiency in SQL

Python programming

Statistical knowledge

Machine learning algorithms

Effective communication

Adaptability

Education

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

Tools

Python packages (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 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.

About Anywhere Real Estate Inc. (http://www.anywhere.re/) (NYSE: HOUS) is moving real estate to what's next. We support industry-leading brands such as Better Homes and Gardens Real Estate, Century 21, Coldwell Banker, Coldwell Banker Commercial, Corcoran, ERA, and Sotheby's International Realty. Our purpose is to empower everyone's next move through our comprehensive services, including franchise, brokerage, relocation, and more. We operate in over 118 countries, supporting nearly 1 million transactions annually.

At Anywhere, we are empowering everyone’s next move – your career included. We value talent, innovation, growth, and a people-first culture that thrives on collaboration and empowerment. Learn more in our Impact Report.

We are recognized as a great place to work by Forbes, Newsweek, Ethisphere, and others. Our EEO statement: EOE including disability/veteran.

Seniority level

• Internship

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting