Summer Data Science Associate – US Based Remote at Lensa

Feedinkoo; United States; Remote; USD 25,000 - 35,000; Full time

Job summary

A leading real estate company seeks a Summer Data Scientist Associate for remote work. The role involves hands-on data analysis and machine learning to drive business decisions. Suitable candidates will pursue a Master's or Ph.D. in analytical disciplines, showcasing proficiency in SQL and Python.

Qualifications

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

Responsibilities

• Assist in exploring data and take ownership of data-related questions.
• Perform ETL processes and feature engineering.
• Collaborate with other data scientists and present results.

Skills

SQL

Python

Statistical knowledge

Machine learning algorithms

Effective communication

Adaptability

Education

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

Job description

Summer Data Science Associate – US Based Remote at Lensa

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:

1. Assist in exploring and understanding data, taking ownership of data-related questions.
2. Perform ETL (Extract, Transform, Load) processes, aggregations, and feature engineering.
3. Write Python code to create visualizations and implement models.
4. Collaborate with other data scientists on projects, sharing knowledge and learning from the team.
5. Be open to innovative ideas and alternative problem-solving approaches.
6. Communicate and present results to non-technical stakeholders.
7. 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 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: 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, including 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 over 118 countries and territories worldwide.

At Anywhere, we are empowering everyone’s next move – your career included. What differentiates us is our scale, expertise, network, and unique business model that positions us as a trusted advisor throughout every stage of the real estate transaction. We pursue talent – strategic thinkers who are eager to always find a better way, relentlessly focus on growth, and achieve exceptional results. We value our people-first culture, which thrives on empowerment, innovation, and cross-company collaboration. Read more about our company culture and values in our Impact Report.

We are proud of our award-winning culture and are recognized as an employer of choice by organizations including:

• Great Place to Work
• Forbes World’s Best Employers
• Newsweek World’s Most Trustworthy Companies
• Ethisphere World’s Most Ethical Companies