ITA International

  • HQ Chief Data Scientist

    Job Location US-VA-Yorktown
    Job ID
    Fill Type
  • Overview

    ITA International (ITA) is a provider of integrated support services to include analysis, planning, training, acquisition management, cyber/intelligence, engineering, logistics, and maritime support services to government, non-governmental organizations and commercial customers worldwide.                                                                                                


    ITA International is currently seeking motivated and talented individuals to join our team as a Data Analytics Scientist in Yorktown, VA.


    Our ideal team member will have a passion for cutting edge Data Analytics and have experience applying statistical and machine learning techniques across a broad set of problems. We are seeking a motivated leader and technical expert who can motivate other developers and analysts and who can positively answer the following:

    • Do you possess the ability to prototype solutions within a distributed computing architecture?
    • Do you want to work in a fast-paced, growing, dynamic start-up environment?
    • Do you like the idea of defining and pursuing a shared vision with clients, leading Data Analytic firms, and educational institutions?
    • Do you have experience with starting and growing a Data Analytics Program?
    • Do you have an entrepreneurial background in a start-up data analytics company?



    • Lead a team of senior and junior developers and analysts to establish a World-class data analytics center
    • Engage existing and new customers in order to define requirements and specifications for accessing and making use of data
    • Collaborate with research and product management teams to identify new sources of data to drive discovery, analysis, and recommendation capabilities
    • Evaluate options for data management infrastructure and tools, design comparison tests, prototype as needed, advise on build/buy decisions
    • Develop, test, and apply optimized algorithms and statistical models for discovering new threat intelligence data, minimizing false positives, and recommending courses of action for internal and external stakeholders
    • Leverage dynamic feedback from customer users and integrated devices for implementing appropriate workflows within the ITA Data Analytics Center platform
    • Work directly with product management, engineering, QA, and related team leads to ensure timely completion of products in conjunction with product roadmaps
    • Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
    • Build recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data
    • Cluster large amount of user generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark
    • Perform machine learning (ML), natural language (NLP), artificial intelligence (AI), text mining and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
    • Participate in and drive client engagements focused on big data and advanced business analytics in diverse domains such as product development, marketing research, public policy, optimization, and risk management; communicate results and educate others through reports and presentations
    • Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns


    • Master’s Degree in computer science, Data Analytics, or Data Science with a strong mathematical background and ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint

    • At least 10 years of experience as a Data Scientist/Modeler/Research Analyst in areas of threat intelligence, network security, etc. dealing with large data sets

    • Experience working with third party data analytics packages, e.g. ELK Stack

    • Experience in working with R and Python or similar scripting languages

    • Proficiency with Structured Query Languages (SQL).  Experience with building complex data extraction, transformation, and loading, including Extract, Transform, and Load into structured databases, data warehouses, and data processing systems

    • Experience in working with Java and MATLAB
    • Ability to communicate results effectively to technical and non-technical audiences.  Communication includes oral and written.
    • Experience with Map Reduce, Spark, Pig, or other distributed programming
    • Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment
    • Strong knowledge in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval
    • Must possess strong written and verbal communications skills
    • Strong data extraction and processing, using MapReduce, Pig, and/or Hive preferred
    • Leadership of teams of 10+ technical and subject matter experts
    • Legally authorized to work in the United States
    • Ability to obtain a security clearance



    • PhD in Computer Science, Data Analytics, or Data Science
    • Technical leadership experience in a start-up, new venture organization


    • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.




     ITA international is an Equal Opportunity Employer and all qualified applicants will receive

    consideration for employment without regard to race, color, religion, sex, national origin,

    disability status, protected veteran status, or any other characteristic protected by law.


    Equal Opportunity Employer – Minorities/Females/Disabled/Veterans


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed