Summer Data Science Associate - US Based Remote

Lensa; Baltimore (MD); Remote; USD 25,000 - 40,000; Full time

Job summary

A leading company is seeking a Summer Data Scientist Associate to join their data science team. This role involves hands-on experience in data analysis, machine learning, and collaboration with professionals to solve business problems. Ideal candidates are pursuing advanced degrees in analytical fields and possess strong programming skills in Python and SQL.

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 preferred.
• Familiarity with statistical techniques and machine learning algorithms.

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

Statistical knowledge

Machine learning algorithms

Effective communication

Adaptability

Education

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

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

At Anywhere, we are empowering everyone’s next move – your career included. We pursue talent—strategic thinkers eager to find better ways, focusing on growth and achieving results. We value our people-first culture, which thrives on empowerment, innovation, and collaboration. Learn more in our Impact Report.

We are recognized as an employer of choice by Great Place to Work, Forbes, Newsweek, and Ethisphere.

EEO Statement: EOE including disability/veteran.

Senioritiy level

• Internship

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting