AI Summary
Work back from business problems to be solved, collect data for statistical analysis, and implement machine learning models. Coach junior associates and collaborate with other data scientists and engineers.
Key Highlights
Understand business needs and explore data sources
Perform data aggregation, feature engineering, and model implementation
Collaborate with data scientists and engineers, and present results to non-tech partners
Technical Skills Required
Benefits & Perks
Master's degree or higher in Statistics, Data Science, Mathematics, Economics, or related field
At least 1 year of experience in building end-to-end models in Python
Opportunity to work with a leading real estate company
Job Description
Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Anywhere Real Estate. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.
Summary of Role: Work back from the business problems to be solved, collect proper data to do statistical analysis, select proper machine learning and/or deep learning modeling approaches, eventually rollout ML models in production environment to perfect business decision.
Meanwhile, coach junior associates during project collaborations.
Responsibilities
- Understand business needs and explore appropriate data sources - be curious and proactive in exploring and understanding data.
- Perform data aggreagation, and feature engineering needed; write Python programming code to make visualizations, build, validate, and implement models.
- Collaborate with other data scientists and engineers.
- Be flexible and open to innovative ideas and alternative ways of solving problems.
- Be able to clearly communicate with and present the results to non-tech partners.
- Master's degree (or higher) in Statistics, Data Science, Mathematics, Economics or related analytical discipline.
- At least one years’ experience in building end-to-end models in python (or similar language) through production. This requirement can be omitted for Ph.D. degree holders.
- Proficiency in SQL and Python programming languages (pandas, numpy, scipy, scikit-learn, etc.)
- In-depth understanding of statistical knowledge and machine learning algorithms. Exposure and some deep learning knowledge are required.
- Specifically, expertise with the following techniques are must-haves to perform daily work: Linear Regression and GLM, GBM, Random Forest, XGboost, segmentation techniques, etc. Knowledge on Large Lanuage Models and Neural Networks are nice to have.
- Effective communication skills.
- Ability to learn new skills and independently take on tasks.
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 talent, obsess about growth, and achieve exceptional results. We value our people-first culture, which thrives on empowerment, innovation, and cross-company collaboration as we keep moving the world forward, together. Read more about our company culture and values in our annual Impact Report (https://anywhere.re/wp-content/uploads/2025/03/2024-Impact-Report.pdf) .
We are proud of our award-winning culture and are consistently recognized as an employer of choice by various organizations including:
- Great Place to Work
- Forbes World's Best Employers
- Newsweek World's Most Trustworthy Companies
- Ethisphere World's Most Ethical Companies
If you have questions about this posting, please contact support@lensa.com