Senior Data Scientist

Maana   •  

Houston, TX

Industry: Technology


5 - 7 years

Posted 165 days ago

This job is no longer available.

Senior Data Scientist


As a member of Maana’s Customer Solutions organization you will work as a member of teams that analyze our customers’ business problems and design solutions based on Computational Knowledge Graphs. Solutions range from NLP and predictive analytics to more common rules-based systems, all based on multiple data sources with varying degrees of complexity.

All Applicants must be currently authorized to work' in the United States on a full-time basis as Maana does not provide Visa Sponsorship at this time.

Essential Functions

In the course of a customer engagement, you will:

  • Work with your team members (analysts, developers, project managers and data scientists) to understand the problem space and design a solution that meets the customer’s needs
  • Work directly with the customer to gain information and share results
  • Provide technical/analytics leadership
  • Perform data assessment, cleaning, and analysis
  • Develop the analytics required for the solution
  • Create production-ready code, test, document and deploy

It is anticipated that you will work on more than one project at a time and take an active role in assessing potential projects for fit. In addition, you will provide mentoring and development guidance to junior members of the team as they join.

Minimum Qualifications

  • MS or PhD in quantitative discipline (e.g. Mathematics, Computer Science, Biostatistics)
  • Minimum of 5 years of relevant work experience as a Data Scientist including data assessment and cleansing, model development and reporting
  • Deep experience in text mining and NLP; proficiency in at least one standard toolset such as Stanford CoreNLP or NLTK
  • Demonstrated knowledge of common ML algorithms and usage
  • Proficiency with at least one of {Python, Java, Scala}
  • Strong written and verbal communication skills and the ability to communicate with non-analytics audiences

Additional Qualifications

  • Experience with Microservices, REST, GraphQL
  • Experience with semantic technologies such as W3C, graph databases, and knowledge representations.