Data Scientist
Tasks
- Analyze and interpret structured and unstructured data
- Assist with data engineering activities
- Collaborate with business teams to generate insights
- Contribute to ML AI operational practices
- Contribute to decision making on ML AI practices
- Design, develop, and implement AI models and algorithms
- Evaluate use cases for feasibility and prototyping
- Identify and evaluate new data sources
- Promote good coding and version control practices
- Recommend ML AI approaches for business
- Recommend and implement ML best practices
- Refine existing algorithms and techniques
- Research and experiment with new techniques and data sources
- Research and identify ML AI improvement opportunities
- Stay current with industry trends and technologies
- Support analyze and improve business KPIs
- Turn experiments into solutions
- Visualize data metrics and patterns
Perks/Benefits
- Comprehensive benefits
- Employee discounts
- Flexible work environment
- Professional growth opportunities
- Retirement plan
- Time off
- Travel opportunities
Skills/Tech-stack
AI | Cloud Computing | Data Analysis | Data Engineering | Data Visualization | Deep learning | Entity recognition | Git | Machine Learning | Named Entity Recognition | Python | SQL | Spark | Statistical modeling | Transformers | Version control
Education
Roles
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