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Senior Data Scientist
  • Python
  • Java
  • Machine Learning
  • Data Analysis
  • Excel
  • Data Mining
  • Modeling
  • Scala
Cubic Corporation
Beavercreek, OH
141 days ago

Job Summary : Develop web apps with Machine Learning (ML) and/or cognitive models on the backend in support of human-machine teaming research for the Air Force Research Laboratory (AFRL). Works closely with the team to build information-rich data products using innovative techniques and technologies to solve ML related challenges and problems. Understands and leverages data mining, machine learning, data modeling, and statistical modeling techniques. Applies strong problem solving and analytic skills to data integration projects and is able to isolate non-obvious relationships between disparate data sources. This position typically works under general supervision and direction.

Essential Job Duties and Responsibilities:

  • Research es , interpret s, and identifies use cases for applying data science techniques against human-machine teaming data .

  • Keep s up to date with technical as well as industry developments, analytics software/tools, trends, and recognized best practices .

  • Contributes to projects under the direction of project and product owners to adhere to funding, resourc ing , schedule, and other constraints .

Minimum Job Requirements:
Four-year college degree, in computer science, machine learning, data science, computational statistics, cognitive science, UI/UX, or related field; plus 5-10 years experience using data mining, data modeling, data integration, machine learning, statistical modeling, and other data science skills and techniques. Masters degree preferred. Experience with Python or comparable scripting language for both data analysis and supervised Machine Learning. Experience working with JavaScript developing front-end web apps is essential (full stack experience is a plus). Experience with statistical and analytic programming design and technologies such as R and other simulation / data analysis tools. Prior experience working with behavior models or cognitive models is a plus (e.g. ACT-R, SOAR). Must have strong analytical and problem solving skills, attention to details, critical thinking ability, and creativity. Must have demonstrated ability to produce high quality analytics applications that can be deployed in a repeatable and scalable fashion. Requires strong knowledge of statistics, signal processing, machine learning, predictive analytics, and other related techniques. Must have excellent written and verbal communication skills used to effectively communicate and present complex information in terms appropriate to the audience. Incumbent will have well-developed research skills and knowledge of current data management principles, procedures, and other tools of the trade. Must be able to manage and prioritize multiple projects simultaneously while balancing according to scope, budget and schedule.

The description provided above is not intended to be an exhaustive list of all job duties, responsibilities and requirements. Duties , responsibilities and requirements may change over time and according to business need.

Worker Type:

Employee

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