The individual will have the opportunity to work on a Fortune 100 long-term engagement and become a subject matter expert. They should be willing to be a vanguard of data complexity with a goal-oriented, effective approach. Come join our team of Machine Learning Experts, Natural Language pioneers and other accomplished engineering professionals to create practical end-to-end solutions with today's latest technologies. Job Description:
Implement techniques for data wrangling, quality review and reporting.
Perform manual and automated data clean-up, quality checks and report analysis.
Analyze data for anomaly detection and handling.
Develop Python scripts, participate in data flow design and engineering.
Define and implement test cases and metric processes aimed at qualifying the new developments as per industry development and testing standards.
Document and communicate effectively the design and implementation details, and the intermediate and final development results, as required.
Follow adopted industry standards and agile development practices as well as be ready to accommodate rapid customer-driven specification changes.
Coordinate with engineering team for integration, testing and debugging. Job Requirements:
2+ years' experience in one or more of following fields: Data Analytics, NLP, Knowledge representation from unstructured data in a limited domain and/or extraction of inference from knowledge bases.
Demonstrate capability to implement techniques for effectively representing and using knowledge in computer systems.
Hands-on experience in development of data gathering and clean up tools.
Ability to work and collaborate with remotely located teams in different time zones.
Motivated and self-managing Desirable:
Experience with graph databases
We are looking for a team-player with experience in the data analytics domain.