Data Scientist 3 - 25407

Job Description

HII-Mission Technologies is currently seeking a skilled Data Scientist to provide strategic insight into the overall analytics roadmap of our DoD customer’s organization and apply statistical and machine learning methods to solve large-scale problems, including the full modeling lifecycle.

You will be supporting a security organization whose mission is to protect our nation's critical assets through enterprise risk management, continuous innovation, and excellence in mission performance and customer service! 

Location & Schedule: This position follows a hybrid work model, with some onsite attendance required in Odenton, MD.

Security Clearance: Candidates must hold an active Secret clearance to be eligible for consideration.

Essential Job Responsibilities

• Gain familiarity with the data and processes, including image review, data analysis, and image data set curation, preparing and processing data
• Investigate and determine suitable machine learning technologies and available open-source resources (software applications, coding, and curated datasets) for a data-sparse context
• Conduct data exploration, analysis, and feature extraction, to incorporate into government roadmaps and data pipelines
• Provide strategic insight into the overall analytics roadmap of the organization, working closely with product owners, engineering and product development teams
• Apply statistical and machine learning methods to solve large-scale problems, including the full modeling lifecycle (e.g., data manipulation, building and evaluating models, interpreting and effectively communicating results, transitioning solutions to production, performance monitoring, recalibrating models, etc.)
• Analyze large amounts of information to discover trends and create data visualization to summarize the modeling insights to effectively communicate them to internal team members and business stakeholders
• Present information using data visualization techniques to senior stakeholders across the agency
• Proposes solutions and strategies to unique business challenges throughout the agency
• Additional duties as assigned or required 

Minimum Qualifications

• 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in realted field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.
• Industry experience with statistical software (Python, R) and database languages (SQL)
• Experience with data analytics/visualization tools
• Demonstrated skill and knowledge in applying artificial intelligence and machine learning, to create and build machine learning models with Python, Spark, Databricks, and other libraries as determined
• Experience in data analysis, including:
  • Querying, segmenting, and visualizing data to evaluate hypotheses
  • Communicating impact to both technical and non-technical audiences
• Experience working with different types of datasets (unstructured, semi-structured, with missing information)Experience building data pipelines from end to end:
  • Understanding business use cases and requirements for different internal teams
  • Cleaning, evaluating, and visualizing data
  • Feature engineering
  • Model exploration and evaluation
  • Maintenance
• IATT Lvl 2 Compliance: Must posses or be able to obtain by start of employment CompTIA Security+, CySA+, or SSCP.
• Clearance: Must possess and maintain a Secret clearance 

Preferred Requirements

• Master’s in data Analytics, Engineering, Science or related technical discipline
• Knowledge of DoD business practices highly desired
• Working knowledge of JIRA and Confluence
• Machine Learning: Artificial Neural Network (ANN), GANs, Bayesian Network/BBN, Regression, Logistic Regression, Decisions Tree, Elastic-net regularized generalized linear models (built in R), k-NN, SVM, Clustering, Page Rank and PCA, MCA, MFC, aPriori and other Data Mining and Deep Learning Algorithms
• Familiarity with Java or C++ 

Physical Requirements

• May require working in an office, industrial, or laboratory environment. C