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Anywhere Real Estate Senior Lead Data Scientist - US Based Remote in Minneapolis, Minnesota

Summary of Role: As a Sr. Manager of Data Science at Anywhere Real Estate, you will work closely with business partners to solve complex problems using data-driven approaches. You will lead the team in collecting and analyzing data, selecting appropriate machine learning and deep learning models, and deploying these models in production to enhance business decision-making. Additionally, you will support the career development of associates and maintain collaborative relationships with business partners. Your work will support Anywhere Real Estate's mission to lead through industry change, transform our brokerage, and invest in innovative technologies.

Anywhere Real Estate is committed to transforming the real estate industry through innovative technology and data-driven insights. We strive to create an inclusive and collaborative environment where diverse perspectives are valued. Our team is dedicated to leveraging advanced analytics to drive business success and deliver exceptional value to our clients. With a focus on integrating and digitizing our brokerage and title operations, we aim to create a frictionless transaction experience for agents and consumers. Our powerful people-first culture, guided by integrity, heart, and teamwork, fuels our success and helps us lead the world on a better journey home.

Key Duties:

  • Collaborate with business stakeholders to understand the business problems to be solved, define project scope, and establish conditions for satisfaction.

  • Lead the team in data exploration, model building, and implementation.

  • Manage the team to ensure high-quality and timely delivery of projects.

  • Present results to non-technical partners and influence them to adopt predictive models.

  • Be flexible and open to innovative ideas and alternative problem-solving methods.

  • Prioritize projects to ensure the overall success of the Data Science team.

  • Support Anywhere Real Estate's strategic initiatives, including the integration and digitization of brokerage operations, and the use of generative AI to drive efficiencies.

Required Qualifications:

  • Master’s degree or higher in Statistics, Data Science, Mathematics, Economics, or a related analytical discipline.

  • At least 6 years of experience in building end-to-end models in Python (or a similar language) and deploying them in production.

  • At least 2 years of experience leading and managing a team of data scientists.

  • Proficiency in SQL and Python programming languages.

  • Strong understanding of statistical methods and machine learning algorithms, with exposure to large language models being a plus.

  • Expertise in techniques such as Linear Regression, GLM, Random Forest, GBM, XGBoost, and various segmentation methods.

Preferred Skills:

  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical audiences.

  • Experience working on large-scale, cross-functional projects.

  • Ability to lead mid-scale projects and provide guidance to junior team members.

  • Flexibility and openness to innovative ideas and alternative approaches.

  • Familiarity with Anywhere Real Estate's initiatives, such as the Inclusive Ownership Program and the use of generative AI to create a more efficient company.

Anywhere Real Estate Inc. (http://www.anywhere.re/)  (NYSE: HOUS) is on a mission to empower everyone’s next move. 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)

The Anywhere portfolio includes franchise and brokerage operations as well as national title, settlement, and relocation companies and nationally scaled mortgage origination and underwriting joint ventures.  Supporting approximately 1.5 million home transactions in 2021, Anywhere is focused on simplifying, digitizing and integrating the real estate transaction for all consumers, no matter where they may be in their home buying and selling journey.  With innovative products and technology, Anywhere fuels the productivity of its approximately 196,200 independent sales agents in the US and approximately 136,400 independent sales agents in 118 other countries and territories.

At Anywhere Real Estate, diversity fuels success – for our company, for our employees, and for our industry. We strive to be a top destination for diverse talent, committed to creating a culture of belonging that empowers everyone’s next move. 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 diversity – respecting backgrounds, cultures, perspectives, and beliefs. We develop our diverse talent base – through increasing representation in executive key leadership roles with actions including mentorship programs and partnerships with real estate associations that promote diversity and inclusion. Read more about our company’s diversity, equity, and inclusion efforts in our annual Corporate Social Responsibility Report (https://assets.website-files.com/633f08923c4c519693723aa5/63f7690462db639dcd8b18de_Anywhere%20CSR%20Report%202022.pdf) .

You’ll find our commitment to diversity reflected in our achievements:

  • Recognized as one of the World’s Most Ethical Companies since 2011.

  • Anywhere has also been designated a Great Place to Work since 2019.

  • Recognized by Fortune as one of America’s Most Innovative Companies.

  • Honored by Forbes as one of the World’s Best Employers for Diversity and Top Female Friendly Companies.

With a diverse employee population, we know we will succeed together and move real estate to what’s next. We hope you’ll join us.

EEO Statement: EOE including disability/veteran

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