Data Scientist, Mid
USA, DC, Washington (200 MacDill Blvd), United States
USD 99K-225K Mid-level Full Time
Tasks
- Build ETL pipelines
- Clean and condition data
- Collaborate with clients on data driven decisions
- Create automated analytic software
- Create machine learning algorithms
- Design data schemas
- Develop predictive models
- Generate data visualizations
- Integrate open-source and commercial software
- Perform statistical analysis
- Query APIs
Perks/Benefits
- Dependent care assistance
- Disability insurance
- Health insurance
- Life insurance
- Paid leave
- Professional development
- Retirement benefits
- Tuition assistance
- Work-life programs
Skills/Tech-stack
API | Bitbucket | CI/CD | Data Modeling | Data Visualization | Data cleaning | Data conditioning | Data integration | Database Schemas | Deep learning | DevOps | ETL | Ggplot2 | Git | GitHub | GitLab | Hadoop | Heterogeneous data | Heterogeneous data integration | Hive | Jenkins | Kafka | Keras | Kibana | Language Models | Large Language Models | Learning algorithms | Machine Learning | Machine learning algorithms | MapReduce | NoSQL | Plotly | Power BI | Predictive Modeling | PyTorch | Python | R | Retrieval-Augmented Generation | SQL | Seaborn | Spark | Statistical Analysis | Tableau | TensorFlow
Education
Roles
Regions
Countries
States
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