Geospatial Data Scientist
hace 7 meses
Are you excited about data science and working on groundbreaking, impactful projects using the latest technology? Do you want to be a part of a high-performance team? Are you passionate about data science? Do you want to be a part of the strategy of using data science to innovate in the real estate market? Then you belong with us
**Essential Duties and Responsibilities**
- Model Development: Design, build, and deploy geospatial and other models and algorithms that meet business needs in the real estate domain.
- Communication with Customers: Participate in meetings with clients to understand and define business requirements and communicate technical results.
- Interdepartmental Collaboration: Work closely with engineering, project and business teams to implement data-based solutions and improvements.
- Optimization and Automation of Processes: Create and maintain efficient and automated data workflows, using cloud technologies like AWS (preferred) or GCP.
- Monitoring and Improvement of Models: Evaluate and monitor model performance, making continuous adjustments and improvements.
- Continuous Learning: Stay up to date with the latest trends and technologies in data science, participating in training and workshops as necessary.
- Documentation and Reporting: Create detailed technical documentation and reports that facilitate understanding and replication of processes and results.
- Strategic Thinking: Support strategic thinking and processes related to infrastructure, geospatial data pipelines, software development, and deployment.
- Self-Accountability: Demonstrate honesty, responsibility, integrity, and fulfillment of commitments.
**Qualifications**:
- 5+ years of data science or software development experience.
- Conversant with Python, and with Python libraries commonly used for geospatial analysis such as GeoPandas.
- Technical Experience includes designing, building, and deploying GIS models, ideally with with Databricks or Snowflake.
- Experience using various techniques as data sources including, but not limited to, REST-based APIs, SQL, and document-based databases.
- Familiarity with cloud technologies like AWS (preferred).
- Experience with real estate is not required but strongly preferred.
- Working with large geospatial datasets is required.
**Benefits**:
- Opportunity to work remotely.
- Competitive salary and benefits package.
- Dynamic work environment and continuous learning culture.
- Education and Wellness Program
**About Nimble Gravity**
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.
- Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants._
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