Huntington Ingalls Industries is America’s largest military shipbuilding company and a provider of professional services to partners in government and industry. For more than a century, HII’s Newport News and Ingalls shipbuilding divisions in Virginia and Mississippi have built more ships in more ship classes than any other U.S. naval shipbuilder. HII’s Technical Solutions division provides a wide range of professional services through its Fleet Support, Mission Driven Innovative Solutions, Nuclear & Environmental, and Oil & Gas groups. Headquartered in Newport News, Virginia, HII employs more than 42,000 people operating both domestically and internationally.
HII- Technical Solutions Division (TSD) is currently seeking a Data Scientist in either their San Antonio, TX or Annapolis Junction, MD location, who will combine knowledge of statistical and machine learning practices with practical programming skills to provide data‐driven solutions to real world problems. We are looking for data scientists who will be able to work in a team composed of data scientists and data engineers to support a variety of software development teams who are building applications for the modern warfighter. The ideal candidate will be able to work with product teams to identify rich data science opportunities, develop data‐centric solutions, and deploy those solutions to a secure production environment.
The Data Scientist must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Essential Job Responsibilities
The following statements of duties and responsibilities are intended to describe the general nature and level of work being performed by individuals assigned to this position. These statements are not intended to be an exhaustive list of all duties and responsibilities required of all personnel within this position. Actual duties and responsibilities may vary depending upon assignments and other factors. (to include but not be limited to the following):
+ Work with product teams, users, and other stakeholders to identify opportunities for data‐driven solutions.
+ Help build sophisticated optimization models,and create algorithms for quickly producing near optimal solutions according to those models.
+ Use supervised and unsupervised machine learning approaches to develop insights and provide recommendations or predictions for future events.
+ Generate hypotheses, design experiments, gather, review and transform data, and test the hypotheses using modern and statistically rigorous methodologies.
+ Develop new techniques and applications in optimization, statistics, and machine learning fields and present those findings to the academic community.
+ A Bachelor of Science degree in Statistics, Operations Research, Mathematics, Computer Science, Economics or a natural science, or similar technical degree with 15+ years of experience
+ You have a theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization.
+ You have experience in languages commonly used for data analysis such as Python, R, Julia, or SAS.
+ Experience using TensorFlow, Kubeflow, PyTorch etc.
+ Experience working with databases such as MySQL or MongoDB.
+ Experience working with large‐scale data sets.
+ Experience producing data visualizations for a variety of different audiences.
+ Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non‐technical audiences.
+ Ability to start with a messy unstructured problem, identify specific research questions from it, and propose data and model‐driven solutions that would create value for end‐users and other stakeholders.
+ Experience working on front‐end, back‐end, or full‐stack web development projects.
+ Knowledge of current developments and trends in statistics, machine learning, and big data.
+ Ability to rapidly implement and test complex models and analytics to solve problems in their field
+ Clearance: Ability to obtain and maintain a U.S. Security Clearance which requires US citizenship
+ Master’s degree or PhD in Statistics, Operations Research, Mathematics, Computer Science, Economics or a natural science, or similar technical degree
+ Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non‐technical audiences
Huntington Ingalls Industries is an Equal Opportunity/Vets and Disabled Employer. U.S. Citizenship may be required for certain positions.