Data Scientist (Req. 10050)




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


There will be regular travel to customer sites within the US and abroad; travel will be roughly 30% with a 1-2 week stay each trip. 

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. 

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.

About Maana 
Founded in 2012, Maana is a privately held company known as the pioneer of Digital Knowledge Technology. Maana has invented a new way to represent industrial knowledge mathematically, using the patented Maana Computational Knowledge Graph™, at the core of the Maana Knowledge Platform™. This unique innovation enables industrial companies to encode human expertise and data from across silos into digital knowledge to help employees make better and faster decisions. Using the Maana Knowledge Platform, Fortune 500 industrial companies can quickly develop AI-driven Knowledge Applications, that accelerate digitizing decision flows and operations.

In 2017 Maana was recognized by the World Economic Forum as a Technology Pioneer for enabling the 4th industrial revolution and also by IHS Markit as a CERAWeek 2017 Energy Innovation Pioneer.

Maana’s strategic investors are comprised of GE Ventures, Intel Capital, Chevron Technology Ventures, Saudi Aramco Energy Ventures, Shell Technology Ventures, Accenture Ventures, CICC, Eight Square Capital, and Sino Capital.   Customers include Global Fortune 500 industrial companies such as Airbus, BHP, Chevron, GE, Maersk, and Shell.  Maana is privately held with offices in Palo Alto, California, Bellevue, Washington, Houston, Texas, and international presence in Dhahran, Saudi Arabia; London, UK; and Copenhagen, Denmark. Visit us at


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