Data Science Analyst (12281887)

MBI Digital is a future-forward, future-ready, full canvas IT Services & Digital Transformation company. We are System and Organization Controls (SOC) 2 Certified Firm.

MBI as the company is ushering in cutting-edge digital transformation for Fortune 1500 clients. MBI Digital was founded in 2010 as a Managed Services firm. HQ in Austin Texas, our 150+ Onshore/Offshore technology consultants, now deliver a wide range of support services for Cloud, Data Science, Digital Infrastructure & Digital Engineering. MBI clients span major industries including HealthCare - LS, BFSI (Banking, Financial Services, Insurance), Government & Digital. MBI Digital has been committed and focused to bring, best-in-class digital technology for our Clients & Prospects.

Data Science Analyst (12281887) 
This is a 100% remote position. Candidates needs to be US Citizen or have a Green Card or H1B visa holder.

Job Description: 

  • Master’s degree with 2+ years of experience or PhD
  • Educational preparation or applied experience in at least one of the following areas: Machine Learning Computer Science Mathematics Statistics or other closely related quantitative discipline
  • Candidates with demonstrated experience in applying machine learning to environmental modeling crop modeling epidemiology or other modeling and interpretation of found open systems data preferred (but not required)
  • Strong programming experience in Python R or another high-level programming language ideally with working with machine learning and statistical modules/ packages
  • Demonstrated experience in reinforcement learning a plus.

Roles & Responsibilities:

  • Strong computer development skills with demonstrated experience in collaborative coding and version control (GIT) and ability to write clear well commented and organized code
  • Experience in Agile project management and/ or willingness to learn
  • Experience in building models including data extraction and cleaning feature selection and engineering and model selection/ validation
  • Strong sense of ownership to deliver valuable analysis through acquisition and application of domain knowledge motivated to develop and work from a strong understanding of our business and the science required to execute it
  • Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear concise and actionable manner to extended team and small groups of key stakeholders
  • Working on new machine learning methods (e.g. Bayesian Methods GCN Spherical CNNs GAN Unsupervised Learning Distributed Learning and others) and methods for gaining insights from these models (shapely partial dependence etc.)
  • Design and implementation of artificial neural networks
  • Working closely with product management to define product strategy and roadmap
  • Creation of innovative products supported by prototypes scientific publications and patent applications

Job ID

Job Type

United States

Date Posted
4th October 2021

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