JOB DESCRIPTION

Summary/Objective

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.

Being authorized to work in the U.S. is a precondition of employment. At this time Maana does not sponsor applicants for work visas.
 
Relocation expenses are not being offered for this position.

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
  • Perform data assessment, cleaning, and analysis
  • Develop the analytics required for the solution
  • Create production-ready code, test, document and deploy

Minimum Qualifications

  • MS or PhD in quantitative discipline (e.g. Mathematics, Computer Science, Biostatistics)
  • Minimum of 2 years of relevant work experience as a Data Scientist including data assessment and cleansing, model development and reporting
  • 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 text mining and NLP tools like Stanford CoreNLP, NLTK, or similar tools
  • Experience with GraphQL

AAP/EEO Statement

Maana provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Maana complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 

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