Join us as we build a next-generation analytics platform and foundation to focus on better operating performance and enable greater growth. As Lead Data Scientist, you’ll help build value-driven intelligent real estate analytics solutions with machine learning, deep learning and reinforcement learning technologies, lay the foundation for optimizing agent and broker efficiency, and bring Anywhere renowned real estate brands to the next level of data-driven excellence.

What we’re looking for:

An expert, and motivated data scientist. A candidate who loves data, is interested in data, and wants to use data to change the world for good as data is at the center of everything we do.

• You are curious and proactive in exploring and understanding data?
• Work to understand the business’ needs, address business problems, and make an impact for the organization.
• Have proven understanding of translating business needs into DS project scope and requirements.
• Have effective and creative problem-solving skills!
• Are able to independently take on tasks and drive toward a “good enough” solution.
• Clearly and explicitly communicate assumptions and thought processes employed in your analyses.
• Mentor and lead team members in DS/ML/statistics/AI concepts and tools to lift up the entire team!
• Are collaborative and solution-minded.

What you’ll do:

Responsible for mastering our data and working closely with the product team to design applied data science products which enable us to use it most effectively. You’ll be designing, developing, and implementing machine learning and predictive analytics models that meet the needs of millions of agents, brokers, home buyers, and sellers. Your role will involve working with a team of talented data scientists, engineers, product managers and designers to investigate new data sources, perform data modeling, and deploy new features.

Your skills, accomplishments, & interests:

• Master’s degree in Statistics, Data Science, Mathematics, Economics or related analytical subject area or equivalent combination of training and experience
• At least 3 years of professional experience in Data Science and Analytics
• Phenomenal interpersonal skills
• Strong problem solving and integrative thinking skills
• Proven experience with machine learning data modeling projects and model development for solving business problems
• Demonstrated expertise of machine learning fundamentals
• Solid knowledge of Python or R for statistical analysis, modeling and visualization (pandas, numpy, scipy, scikit-learn, etc)
• Expertise with a range of machine learning modeling techniques such as: Linear Regression, Random Forest, GBM, XGboost, GLM, SVM etc.

Nice to haves:

• PhD in Statistics, Data Science, Computer Science, Mathematics, Economics or related analytical discipline or equivalent combination of training and experience
• Project-related AWS experience using SageMaker, Athena, S3, EC2, lambda functions, step functions, cloud formation
• Experience with Airflow pipeline workflow automation
• MLOps knowledge and implementation
• Experience and knowledge of residential real estate data

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Exciting News:

EEO Statement: EOE AA M/F/Vet/Disability

Compensation Range:

$132,000 - $186,000; At Anywhere, actual compensation within that range will be dependent upon the individual’s skills, experience, and qualifications.