is the nation's leading online real estate marketplace focused exclusively on the sale of residential bank-owned and foreclosure properties via online auctions and live trustee sale events. Combining our passion for real estate with technology and data science, we created an unrivaled transaction platform that has resulted in $66 billion in sales, 7.5 million registered buyers on and 533,000 properties sold to date. By offering access to exclusive properties and technology designed to seamlessly connect buyers and sellers, empowers residential real estate investors and financial institutions to achieve optimal, mutually beneficial results - to go beyond the bid.
Job Summary: The Senior Data Scientist will be leading in tackling challenging problems and creating statistical, machine learning, and deep learning models that impact millions of users. The Senior Data Scientist will join a team of data scientists and machine learning engineers who work closely with business partners to provide machine intelligence-driven solutions and products to simplify and enhance customer experience, improve sales rate and automate core business processes.
This position will be located at our Corporate Headquarters in Irvine, CA. Job Expectations: - Create machine learning, deep learning, and statistical models that turn insights into robust products for our customers and business partners
- Translate ambiguous business problems into analytical problems, bringing your stakeholders along the way
- End-to-end analysis, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
- Prototype and build analytical pipelines using various data sources to provide insights at scale
- Interact cross-functionally with a wide variety of teams and work closely with them to identify opportunities
- Develop analytical solutions, forecasting, and optimization methods to improve user experience. Areas include product recommendation, end-user behavioral modeling, user engagement, pricing, etc.
- Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) based on rigorous analysis
- Mentor junior scientists, unlocking their potential and helping them grow in their careers
Knowledge, Skills, and Abilities: - Experience working with stakeholders and executives throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Experience with one or more programming or scripting languages (Python, R, C , Java, or Scala)
- Hands-on experience with statistical modeling and machine learning packages (scikit-learn, LightGBM, XGBoost, Keras, Pytorch, Tensorflow, statsmodels, Stan, Clusters, etc.)
- Strong ability to tell the story using data
- Deep understanding of: Operations Research, Statistical Modelling, Hypothesis Testing, Statistical Simulation, Probabilistic Modelling, or Time Series Analysis
- Ability to gather data from multiple sources (SQL, Spark, etc.) and use data visualization in Power BI to tell the story
- Experience using web services: Redshift, S3, etc.
- Experience working with AWS Sagemaker, Power BI, etc.
- Experience analyzing data from 3rd party providers: Google Analytics, etc.
Experience Requirements: - At least 5 (five) years of relevant experience in data analysis or a related field (Data Scientist, Machine Learning Engineer, Statistician, or related field) and at least 3 years of relevant work experience in data modeling and bringing products to production
- Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy. Ability to use judgment and reasoning skills and determine when to escalate issues, as required, in a timely manner
Education Requirements: Master's Degree in Computer Science, Statistics, Applied Mathematics, Physical Sciences, or related quantitative fields. Ph.D. highly preferred.
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is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other characteristic protected by applicable law.
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Specific compensation for the role may vary depending on several factors, including but not limited to a candidate's qualifications, skills, competencies, experience, and location. offers a competitive total compensation package in addition to base salary or wage, such as a 401k match, annual incentive program, healthcare coverage, and a broad range of other benefits for eligible roles. Learn more at