Data Scientist
Tasks
- Build production data analytics tools
- Create demonstrations for technical and non technical audiences
- Create technical documentation and briefing materials
- Design web based platforms and services
- Develop and unit test production code
- Develop proof-of-concept models
- Develop text analytics pipelines
- Implement machine learning algorithms for business problems
- Process and cleanse large raw data sets
- Prototype screens and drive requirements
- Refine analytic tool baseline
- Specify and design final system
- Translate requirements into user stories and development tasks
Perks/Benefits
- 401k matching
- Disability insurance
- Healthcare benefits
- Life insurance
- Paid time off
- Referral bonus program
Skills/Tech-stack
Agile | Amazon Web Services | Apache Kafka | Apache OpenNLP | Bash | Confluence | Data Visualization | Document Summarization | Document categorization | ETL | Elasticsearch | Entity Extraction | Extract Transform | Extract Transform Load | Gensim | Git | GitHub | Java | Jira | Language Processing | Linux | Machine Learning | MongoDB | NLTK | Natural Language | Natural Language Processing | NoSQL | Pandas | Python | Scrum | Sentiment Analysis | Solr | Spacy | Stanford CoreNLP | Tableau | TensorFlow | Text Analytics | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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