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Data Scientist, Customer Solutions (London) at Maana
London, GB

Summary/Objective
The role will work directly with Customer Solutions Analysts and customers to analyze the business problem, translate the opportunity into model requirements, and define the solution. Solutions range from predictive analytics and imputation using a variety of techniques to more standard classification and clustering.

Essential Functions

Successful candidates will be familiar with NLP tools and methods, and common supervised and unsupervised ML algorithms. A critical component of this role is a strong focus on solving the customer problem and not over-engineering the implemented solution.

Successful solutions address the client problem in an analytically rigorous fashion, with special attention to testing and validating results.

The Data Scientist should also be attentive to how the developed model can and should be operationalized when integrated with a LOB (line of business) application that is used to capture workflow. The solution will provide the customer with information to make better repeatable business decisions, and build better business processes for future clients.

Throughout the solution development process, this individual will collaboratively manage all aspects of solution design and execution including working closely with development, analyst stakeholders to validate the approach and ensure alignment with the customer.

It is expected that the Data Scientist will be working on multiple solutions simultaneously, and as such, excellent project and time management skills are required.

No Relocation Available.

Required Experience

Qualified candidates will have:

  • Successfully demonstrated solution modeling, design and execution including choosing the correct factors used in the model
  • A willingness and ability to think creatively about the domain expertise communicated by the data and to develop insights and expectations for how models are expected to behave, additional (possible latent) predictors, and other domain specific influences that could impact overall solution quality
  • A strong skill set data transformations, joins, queries to correctly prepare data for analysis
  • Passion for solving complex business problems and an approach that includes seeking peer review for proposed solutions
  • Strong written and verbal communication skills are necessary to ensure efficient collaboration
  • Excellent communication skills required to work with the customers closely
  • Ability to build relationships with the customer contact
  • High performing team member demonstrating multi-tasking capabilities
  • Self-starter who can acquire knowledge without close supervision

Education and Technical Experience

  • 5+ years current or recent data science engineering experience at a large O&G company in the Physical Sciences
  • 2+ years of real-world experience on projects doing text mining/NLP in scale
  • Master degree in related field is a MUST and PhD is preferable.
  • Experience with text mining in Python, R or SAS, or similar tool. 
  • Experience with text mining and NLP tools like Stanford CoreNLP, NLTK, or similar tools. 
  • Must be willing to travel*

 

Optional but a big plus:

  • PhD degree
  • Experience with Microservices, APIs, REST, GraphQL. 
  • Experience with Semantic technology like W3C, graph databases, and knowledge representations.

 

Travel:

  • Candidates will work at Maana’s major digitation use case projects at some of the world’s largest O&G and Industrial companies
  • There will be regular travel to customers HQ and Major Operations sites  Which could be from 1-2 week stay at each trip 

Candidate Information:  Visa Sponsorship is not available for this position.

 

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.