Senior Data Scientist

Lensa • United State
Remote Visa Sponsorship Relocation
Apply
AI Summary

Work as a Senior Data Scientist to solve business problems through statistical analysis and machine learning. Collect data, perform aggregation, and implement models in production. Coach junior associates during project collaborations.

Key Highlights
Senior Data Scientist role
Business problem-solving through statistical analysis and machine learning
Data collection, aggregation, and model implementation
Technical Skills Required
Python SQL pandas numpy scikit-learn GLM GBM Random Forest XGboost segmentation techniques
Benefits & Perks
Full-time employment
Remote work
Visa sponsorship
Relocation package

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.

Experience

  • 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.

Skills

  • 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.

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 (https://www.bhgre.com/) ,?Century 21® (https://www.century21.com/) ,?Coldwell Banker® (https://www.coldwellbanker.com/) ,?Coldwell Banker Commercial® (https://www.cbcworldwide.com/) ,?Corcoran® (https://www.corcoran.com/) ,?ERA® (https://www.era.com/) , and?Sotheby's International Realty® (https://www.sothebysrealty.com/eng) , 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 (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

EEO Statement: EOE including disability/veteran

If you have questions about this posting, please contact support@lensa.com

Similar Jobs

Explore other opportunities that match your interests

Senior Operations Manager

Data Science
•
3h ago

Premium Job

Sign up is free! Login or Sign up to view full details.

•••••• •••••• ••••••
Job Type ••••••
Experience Level ••••••

Anduril Industries

United State

Data Analyst

Data Science
•
8h ago
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Associate

Wiraa

United State
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

jnd inc.

United State

Subscribe our newsletter

New Things Will Always Update Regularly