Summer Data Science Associate - US Based Remote

Lensa; Baltimore (MD); Remote; USD 52,000 - 70,000; 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, allowing you to tackle business problems through innovative solutions. You'll collaborate with experienced professionals, enhancing your skills in Python, SQL, and statistical analysis while contributing to impactful projects.

Qualifications

• Currently pursuing a Ph.D. (1-2 years into the program) or a 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 skills

Education

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

Job description

Summer Data Science Associate - US Based Remote

1 day ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

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 desirable.
• Effective communication skills.
• Ability to learn new skills and adapt to new 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.

We support nearly 1 million home sale transactions annually across more than 118 countries and territories worldwide.

At Anywhere, we are empowering everyone’s next move – your career included. We differentiate ourselves through scale, expertise, network, and a unique 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, relentlessly focused on growth, and committed to achieving exceptional results. Our people-first culture thrives on empowerment, innovation, and collaboration. Read more about our culture and values in our Impact Report.

We are proud of our award-winning culture and recognition as an employer of choice, including:

• 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