Principal Data Scientist – Location Intelligence
Cotality
full-time
Posted on:
Location Type: Hybrid
Location: Dallas • California, Florida, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $112,700 - $135,000 per year
Job Level
Lead
Tech Stack
CloudPySparkPythonSQL
About the role
- 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!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningdeep learningSQLPythondata visualizationPysparknatural language processingtext embeddingssemantic similarity
Soft skills
articulation skillsteam playercollaborationproblem solving
Certifications
Bachelor's Degree