Senior Data Scientist - Machine Learning

Anywhere Real Estate Inc. • United State
Relocation Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Work on business problems using machine learning and large language modeling approaches. Lead projects and coach junior data scientists. Roll out models in production environment to inform business decisions.

Key Highlights
Develop and implement end-to-end machine learning models in Python
Lead projects and coach junior associates
Collaborate with business partners to understand needs and present results
Technical Skills Required
Python SQL Linear Regression GLM Random Forest GBM XGboost Large Language Models
Benefits & Perks
Opportunities for career growth and development
People-first culture with empowerment and innovation
Recognized as an employer of choice by various organizations

Job Description


Job Description

Summary of Role: Work back from the business problems to be solved, collect proper data to perform various analysis, select proper machine learning and/or large lanuage modeling approaches, eventually rollout the models in production environment to perfect business decision. Meanwhile, lead the project, coach junior data scientists, and maintain a collaborate relationship with business partners during projects.

Responsibilities

  • Deeply understand business needs and translate business needs to a technical project.
  • Identify appropriate data sources to use. Perform data aggregations and feature engineering as needed.
  • Write Python programming code to make visualizations, build and implement models.
  • Be flexible and open to innovative ideas and alternative ways of solving problems.
  • Present the results to non-tech partners and influence them to use predictive models.
  • Coach junior associates during the projects

Experience

  • Master's degree (or higher) in Statistics, Data Science, Mathematics, Economics or related analytical discipline.
  • At least 5 years’ experience in building end-to-end models in python through production.
  • At least 2 years’ experience in leading projects and coaching junior associates.

Skills

  • Proficiency in SQL and Python programming languages
  • In-depth understanding of statistical knowledge and machine learning algorithms. Exposure to some Large Language Models is nice to have.
  • Specifically, expertise with the following techniques is a must-have to perform daily work: Linear Regression and GLM, Random Forest, GBM, XGboost, various segmentation techniques etc.
  • Excellent communication skills
  • Ability to work on large-scale cross functional projects.
  • Ability to lead mid-scale projects and coach junior associates.

About Us

Anywhere Real Estate Inc.  (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, which include 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 and our portfolio of industry-leading brands turns houses into homes in more than 118 countries and territories across the world.

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 .

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

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