Remote ML Engineer & Data Scientist — AI + Geospatial

Prophetic

Portland (OR)

Hybrid

USD 110,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Unlimited PTO
Competitive salary and early-stage equity
Remote/hybrid work options
In-office perks like snacks and drinks

Job summary

Prophetic is seeking a Data Scientist / Software Engineer to help build AI-driven solutions for real estate development. You will design and deploy machine learning models that enhance our platform, delivering impactful features that enable customers to make informed land acquisition decisions.

The ideal candidate will have over 4 years of experience, strong Python skills, and familiarity with data science libraries like TensorFlow and scikit-learn. This is an opportunity to join a fast-growing company that values innovation and collaboration.

Qualifications

  • Design, build, and deploy machine learning models and data science solutions.
  • 4+ years of experience in data science or machine learning engineering.
  • Strong proficiency in Python and experience with ML libraries.

Responsibilities

  • Develop predictive models for development activity and market analysis.
  • Collaborate with product and engineering teams to identify ML opportunities.
  • Monitor model performance and iterate on improvements.

Skills

Data science
Machine learning
Python
SQL
Geospatial data analysis

Education

4+ years in data science or related field

Tools

PostgreSQL
scikit-learn
TensorFlow
PyTorch
Docker

Job description

Prophetic is seeking a Data Scientist / Software Engineer to help build AI-driven solutions for real estate development. You will design and deploy machine learning models that enhance our platform, delivering impactful features that enable customers to make informed land acquisition decisions.

The ideal candidate will have over 4 years of experience, strong Python skills, and familiarity with data science libraries like TensorFlow and scikit-learn. This is an opportunity to join a fast-growing company that values innovation and collaboration.

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