Senior Data Scientist responsible for enhancing mapping and routing solutions at Vay. Utilizing data science and machine learning to improve navigation in urban mobility systems.
About the role
- 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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