Principal Data Scientist developing data-driven insights using property and location intelligence at Cotality. Collaborating with cross-functional teams to model real estate assets data on a national scale.
Responsibilities
Harness the richest property and geospatial data catalog in the industry to identify uniquely identifiable locations of property development, urban expansion, and transactional activity
Apply a variety of data science, machine learning, and deep learning techniques across multi-modal data assets
Leverage cloud-native BigData processing capabilities on Google Cloud, directly in designing and building models, and in partnership with our engineering resources to build pipelines around them
Partner with API engineering teams to make insights available to internal and external customers.
Consult on data domain, schema and data subject matter in general
Partner with Product Management and Sales Engineering to help build data product narratives
Participate in consultative sessions with select customers to amplify the understanding of data science led value in our data products
Requirements
9+ years of experience in working in the Data Analytics industry
Hands-on experience in analyzing and building data science and analytics solutions with large scale datasets using SQL based query languages, and Python based data science libraries
Understanding of US addresses and location based data
Hands-on experience in building data visualizations, especially map based visualizations to showcase broad patterns of problems and opportunities in data, as well as the value added in our data science solutions
Excellent articulation skills that complement the development skills to tell data stories
Team player who collaborates and complements colleagues in a cross-functional team to solve hard problems
Bachelor's Degree or Equivalent Work Experience
Even better if you have some knowledge / experience with any of the following: Natural language processing, text embeddings, semantic similarity; Working with US land parcel and/or building footprints data; Working in a Pyspark notebook based environment
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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