Cons - TC - AI and Data - Enterprise Data - Data Science - Manager - Multiple Positions - 1703364
Tasks
- Advise on data mining best practices
- Apply operations research techniques
- Build predictive models
- Communicate findings and recommendations
- Deliver data science technology solutions
- Design, build, and maintain scalable data solutions
- Develop and analyze client data
- Develop proof of concepts and pilots
- Ingest process and analyze big data
- Maintain client relationships and networks
- Manage data scientists and data engineers
- Manage global data and analytics team operations
- Monitor team progress and deliver quality services
- Present insights to clients
- Recommend and build data platforms
- Review and improve developed models
- Support business development
- Unify enrich and analyze data from multiple sources
Perks/Benefits
- 401k plan
- Dental coverage
- Flexible vacation policy
- Hybrid work model
- International travel opportunity
- Medical coverage
- Paid Holidays
- Paid time off
- Pension plan
Skills/Tech-stack
APIs | AWS | Amazon S3 | Azure Blob | Azure Blob Storage | Big Data | Blob Storage | Cloud Data | Cloud Data Platforms | Data Cleansing | Data Engineering | Data Mining | Data platforms | ETL | Hadoop | Machine Learning | NoSQL | Operations Research | Predictive Modeling | Python | R | RDBMS | SQL
Education
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