Summer Data Science Associate - US Based Remote

Lensa; Detroit (MI); Remote; USD 25,000 - 45,000; Full time

Job summary

Lensa 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, providing hands-on experience for students pursuing advanced degrees in related fields.

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 preferred.

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

Proficiency in SQL

Python programming

Statistical knowledge

Machine learning algorithms

Effective communication skills

Ability to learn new skills

Education

Currently pursuing a 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 nice to have.
• Effective communication skills.
• Ability to learn new skills and adapt to challenges.

Anywhere Real Estate Inc. (http://www.anywhere.re/) is moving real estate to what's next. Home to recognized brands like Better Homes and Gardens Real Estate, Century 21, Coldwell Banker, Coldwell Banker Commercial, Corcoran, ERA, and Sotheby's International Realty, we empower everyone’s next move through our comprehensive services, operating in over 118 countries and territories worldwide.

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

We are recognized as a great place to work by organizations such as Great Place to Work, Forbes, Newsweek, and Ethisphere.

EEO Statement: EOE including disability/veteran.

Seniority level

• Internship

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting