Senior Data Scientist
PITTSBURGH, PA, United States
R
USD 86K-141K (estimate) Senior-level Full Time
Tasks
- Analyze and report environmental and ESG metrics
- Apply computer vision for image analysis
- Build data pipelines for environmental datasets
- Conduct compliance risk assessments
- Create spatial visualizations and predictive models
- Deploy graph database solutions for network analysis
- Design relational and non-relational databases
- Develop Power Platform applications and workflow automation
- Develop machine learning models for predictive analytics
- Implement ETL processes for data cleaning and transformation
- Integrate geospatial data with machine learning and graph databases
- Manage data science project timelines and delivery
- Present findings to clients and management
- Use natural language processing for document analysis
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | ArcGIS | Azure | C++ | Cassandra | Computer Vision | ETL | Earth Engine | Geospatial analysis | Google Cloud | Google Earth | Google Earth Engine | Graph Databases | Hadoop | Hugging Face | Java | Language Processing | Machine Learning | Matplotlib | Microsoft Power | Microsoft Power Apps | Microsoft Power Automate | Microsoft Power BI | MongoDB | NLTK | Natural Language | Natural Language Processing | Neo4j | Next.js | Node.js | OpenCV | Power Apps | Power Automate | Power BI | Power Platform | PyTorch | Python | QGIS | R | React.js | SQL | Scikit-learn | Spacy | Tableau | TensorFlow | TigerGraph | Vue
Education
Roles
Regions
Countries
States
Cities
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