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Data Scientist

Keller Williams Realty

Texas

Job description

Data Scientist
#25-136
Remote, Texas, United States
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Position Purpose

We are looking for a Data Scientist who will implement models across Keller Williams’ growing technology space. You will join the data science team and work to scope projects, explore data, engineer features, and create models to achieve business and product goals. We cover a wide array of artificial intelligence projects from property valuation, entity resolution, and recommendation engines, to forecasting, marketing science, image intelligence, and Agentic AI.

Location(s)

US Remote-US999

About Us

With more than 1,000 market center offices and 173,000 agents, Keller Williams is the world's largest real estate franchise by agent count. The franchise is No. 1 in units and sales volume in the U.S. Since 1983, the company has cultivated an agent-centric, technology-driven, and training-based culture, and has consistently won awards as Best Companies to Work for in Texas, Top Work-Life Balance Company, America's Best Employers for Diversity, Best Employers for Women, and America's Most Innovative Companies. If you want to be a part of an award-winning team that fosters innovation, focuses on people and service, and where you can make a difference, then Keller Williams is the place for you.

Keller Williams Recognition in 2024:

  • Glassdoor "Best Places to Work 2024"
  • Entrepreneur "2024 Franchise 500 Hall of Fame"
  • Franchise Business Review "2024 Top Franchise for Women"
  • Realtor Mag "2024 NAR 30 under 30"
  • Franchise Business Review "Culture 100"

The Impact You'll Make

  • Engage with business stakeholders, find opportunities that provide clear business value, and translate those findings into data science/AI/ML use cases
  • Design predictive modeling and statistical analysis approaches to solve complex problems, and build end-to-end solutions for such problems
  • Collaborate with data engineers and platform architects to ensure that solutions can be deployed into robust production systems
  • Monitor deployed model (MlOps, LLMOps) and business metric health, proactively investigate unexpected trends, recommend, and implement timely solutions to emergent problems.
  • Communicate analysis and model results to business stakeholders
  • Proactively research and evaluate technologies and methods across data science, engineering, and visualization that improve the team's technical capabilities

The Experience You'll Need

Minimum Requirements

  • Bachelor’s Degree in heavy math, statistics, or data-science emphasis, preferably from a field of study such as Computer Science, Operations Research, or Economics
  • Five or more years of experience successfully applying data science to real business problems
  • Proven practical experience with and theoretical understanding of classification, regression, clustering, and anomaly detection algorithms

Preferred Requirements

  • Master's Degree and/or PhD with a heavy math, statistics, or data-science emphasis, preferably from a field of study such as Computer Science, Operations Research, or Economics
  • Expertise with Google Cloud services (BigQuery, Vertex AI, Cloud Storage, Cloud Functions, & Cloud Composer/Airflow)
  • Experience with multimodal embeddings and vector search
  • Experience with MlOps on Vertex AI

EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Physical Requirements

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities as defined by the Americans with Disabilities Act As Amended to perform the essential functions.
  • Sitting
  • Keyboarding
  • Viewing computer monitor

Work Environment

Work is performed in a business office environment. Ability to work extended hours, as required, in support of the company's business needs.

Benefits and Compensation

  • Medical (including FSA and HSA options)
  • Dental
  • Vision
  • 401k with Company Match
  • Keller Williams Incentive Plan (KWIP)
  • Basic Life Insurance
  • Voluntary Life Insurance
  • On-Demand Mental Healthcare
  • Employee Assistance Program (EAP)
  • Legal Services
  • Pet Insurance
  • Identity Theft Protection
  • Paid Time Off
  • Paid Holidays
  • Floating Holidays
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