What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience in data science analytic roles with a track record of leveraging ML in business environments.
- Strong skills in Python Pyspark SQL and familiarity with big data pipeline tools and MLOps practices.
- Able to manage multiple projects and stakeholders with strong problem-solving and analytical abilities.
Nice to have
- Geospatial data knowledge
- Familiarity with ESG
- Project leadership skills
Day to day
- Evaluate and interpret data related to real estate and environmental risks to identify trends and customer behaviors.
- Develop models using machine learning and data mining techniques to generate actionable insights.
- Collaborate with product teams to enhance product development and improve data-driven decision-making.