Principal Machine Learning Scientist
About The Position
The Principal Machine Learning Scientist will design, develop, and deliver Machine Learning based Predictive and Forecasting solutions that will enhance and add value to new and existing Real Estate and property data assets for broad industry applications and aligned with business and market requirements. Example solution is House Pricing Index model. Develop algorithmic and rule-based models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques. Performs data analysis, feature engineering and model development using a variety of analytic techniques, tools, and programming languages to provide business insights and analytic products.
Requirements
- Master’s Degree or higher in economics, artificial intelligence, data science, computer science, math, statistics or engineering field, or equivalent work experience.
- Ability to thrive in a team environment and adapt to quickly changing priorities.
- 7+ years of directly related experience.
- Strong problem solving and analytical ability.
- Strong communication skills.
- Ability to quickly and efficiently adapt to new concepts.
- Demonstrated knowledge of statistical techniques.
- Data mining/data analysis experience.
- Strong working knowledge in multiple analytic development tools, statistical tools, programming languages, and big data tools.
- Working knowledge in cloud platform (e.g. AWS, GCP), cloud-based sandbox environment and analytics sandbox and libraries.
- Ability to work collaboratively with cross-function teams and business units.
- Demonstrated general business acumen; experience working in a real estate and mortgage related data industry a plus.
- Ability to lead small team in technical projects.
Nice To Haves
- Patents and publications in data science field a plus
Responsibilities
- Create data derivation and linkage through algorithms and/or data rules.
- Create and select predictive features from raw data.
- Create model reports for stakeholder review and model documentation.
- Perform pattern recognition model creation and training using various types of algorithms and machine learning modeling techniques for unknown or less well-defined – an unknown problem, solve new problems (e.g., clustering, logistic regression, deep learning, support vector machines, boosting trees, supervised and unsupervised models).
- Develop analytics using Python, SQL and other big data tools such as BigQuery(BQ), DataPrep and Jupyter Notebook.
- Perform complex data analysis on large volumes of property and consumer data and present model performance to stakeholders.
- Provide data science and analytic support for the Enterprise Data Solutions Group (EDSG) and interact with other EDSG teams as well as other business units.
- QA and analyze large amounts of data to create appropriate data sets for model building.
- Prepare and maintain programs and documentation for analytic models.
- Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.
- Act as a consultant to EDSG’s data management and data technology teams.
- Lead and provide technical leadership on data science project with other data scientists, data engineers, and data analysts.
Benefits
- Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
- Up to 16 weeks of fully paid parental leave and a baby stipend.
- Multiple medical plan options with mental health and wellness support offerings.
- 401(k) with company match and vesting after one year.
- $400 annual well-being stipend and tuition assistance up to $5,250.
- Recognition Rewards, Referral bonuses, exclusive discounts and more!
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What This Job Offers
Job Type
Full-time
Career Level
Principal
