Lead Senior Data Scientist

Location: Houston, TX, United States
Date Posted: 07-16-2018
Working in a highly collaborative environment, you will support product innovation and customer engagements, partnering to ensure company success. You will need to coordinate your efforts within the team, possibly mentor and develop junior staff, and participate in development and direction setting initiatives. You will need to be entrepreneurial, pro-active and able to work with business leadership to understand business needs and opportunities in order to provide data science-led solutions.

1. Defining the problem: 
  • You will be working directly with the business to define applications which will have a major impact
  • To do this you need to go beyond “how can I help” to establish what the required end-result will be and what needs to be done to achieve it
2. Data sourcing: 
  • Access to a combination of first- and third-party data sets is the key to our capabilities  If we don’t have the data, proactively work to obtain the missing pieces
  • You will need to be hands on with handling, sifting and transforming massive amounts of data to extract information. 
3. Technology: 
  • We use state-of-the-art technology to achieve its aims. We use the best tools for the job and can bring in new technologies as required 
  • To be successful in this role it is vital that you are highly proficient in using the appropriate technologies and their related packages to deliver robust solutions
  • Research & develop methods and lead investigations for measuring and analysing multiple streams of data 
  • Lead, mentor and train a growing team of mid-, junior-data scientists, developers and analysts.
  • Report and present findings and developments including results clearly and efficiently, verbally and in writing 
  • Develop distributed and scalable software solutions to build data pipelines and produce interactive visualisations 
  • Write infrastructure as code and carry out automated tests before deploying to production systems 
  • Implement solutions using various algorithms and enhance existing systems through efficient optimisations 
  • Contribution to open source projects and strong publication history will an added advantage
  • Assist customers with issues and processes
  • Assist team where required to assist with projects to help the company
  • Reservoir or production engineering or optimization experience
  • A Masters in computer science or equivalent experience in in Machine Learning, Computer Science, Mathematics or quantitative discipline
  • Professional experience in a data scientist or a related software engineering role 
  • Competence to commission, interrogate, deploy, and assure advanced predictive analytics and machine learning models, such as Bayesian models, natural language processing and reinforcement learning
  • Comfortable mining unstructured data and ingesting data from various sources such as REST/SOAP frameworks
  • Familiarity with computer vision paradigms will be a good to have
  • Experience with popular data analytics and modelling packages.
  • Deep understanding and hands-on experience with optimization, data mining, machine learning, deep learning and natural language processing techniques
  • A passion for innovating with data science at scale - applying modern or novel algorithms to massive datasets and creating measurable business value
  • Ability to personally put together a system of 'disjointed' components that implements a working solution to the problem
  • Experience in building highly scalable software solutions various using software architecture 
  • Experience in various types of programming (imperative, object oriented, functional and declarative) 
  • Experience working in a multi-threaded & concurrent environment and with non-blocking & event based systems Have knowledge of Software Design Patterns and Enterprise Architecture Patterns 
  • Strong knowledge of automation tools and testing tools (e.g. Chef, Puppet, Selenium) 
  • Have used continuous integration, version control systems and cloud based services (e.g. Windows Azure, Amazon AWS, Docker, Kubernetes) 
  • Familiarity with a wide variety of open source tools to carry out data warehousing 
  • An understanding of rapid application development approaches and techniques for mission critical solutions
For more information, please apply below or contact us
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