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Data Scientist

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Vatican City, Texas (USA), United States

Offer summary

Qualifications:

Bachelor’s Degree in quantitative field required, Master’s Degree in Data Science preferred, 3+ years of predictive modeling experience, Strong proficiency in Python and related libraries, In-depth knowledge of statistical analysis techniques.

Key responsabilities:

  • Develop analytical and AI solutions from inception to deployment
  • Establish and use Big Data frameworks for data handling
  • Design software solutions based on program requirements
  • Evaluate problems and proposed solutions for operational feasibility
  • Collaborate to implement high-quality technology solutions
Main Sail, LLC logo
Main Sail, LLC https://www.mainsailgroup.com/
51 - 200 Employees
See more Main Sail, LLC offers

Job description

  • United States Citizenship (Dual citizenship not authorized) and an Active DoD or DOE eligiblity with favorable determination is required per government contract.***

Main Sail is seeking Data Scientists to support a critical U.S. Navy initiative aimed at improving the resilience, security, and transparency of its global supply chain. The ideal candidate will lead and support feasibility studies, build capabilities to Client explanatory features in high-dimensionality datasets, and develop and integrate state-of-the-art AI/Client solutions to support mission-critical software capabilities.

Responsibilities

  • Develop solutions to deliver analytical and AI/Client capabilities from problem formulation to a productized, deployable, maintainable capability
  • Leverage state-of-the-art theory and technologies to solve complex problems
  • Establish and leverage Big Data frameworks to store, extract and analyze relevant data
  • Develop software solutions by understanding customer requirements and program intent
  • Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions
  • Be responsible for solutions that meet software design, quality, and performance requirements.
  • Work with minimal supervision in a collaborative environment to implement best-in-class solutions.

Experience And Qualifications

  • Bachelor’s Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required, Master’s Degree in Data Science or other technical field highly preferred
  • 3+ years of experience in predictive modeling, data science, and analysis
  • Previous experience in an Client or data scientist role and a track record of building Client and Data Science capabilities
  • Experience working with data mining and Client algorithms, including decision trees, probability networks, association rules, clustering, and neural networks
  • Experience in and knowledge of mathematical optimization techniques, nonlinear programming, evolutionary and classification-inspired optimization algorithms
  • In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE)
  • Strong proficiency in Python
  • Experience using Client libraries, such as scikit learn, PYTorch, Keras, etc.
  • Knowledge of data and information visualization principles and experience using related tools

Location: Remote

Period of Performance: 1 year (January 2025 to January 2026), with possible extensions.

  • United States Citizenship (Dual citizenship not authorized) and an Active DoD or DOE eligiblity with favorable determination is required per government contract.***

Main Sail provides competitive pay and benefits that include medical, dental, 401K and paid time-off to qualified employees. Exact pay rates will vary based on skills, experience and location. Main Sail is an Equal Opportunity Employer.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Quality Assurance

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