Data Scientist / Developer

Collins Aerospace
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Job Description

Onsite

Raytheon Technologies is currently seeking a Data Scientist / Developer in Herndon, VA for a unique position for a strong applications developer to work on a high-profile suite of services that will supply users with productionized data analytics to assist the wide range of Information management mission activities conducted across the customer organization. The candidate will work with a team of software developers and data scientists to refine the new baseline of analytic tools and build out new tools on a routinized production cadence to meet the evolving needs of Sponsor users. This is an exciting opportunity for developers wanting to broaden their credentials in the realm of high-demand data analytics. Development will take place in an iterative fashion using scrum techniques with inputs from the Project Manager, IT Division Leadership, Technical Director, and Subject Matter Experts and other business stakeholders. The candidate must have the ability to communicate with project team members, user community, and leadership to assess changes and demonstrate iterative progress.

This position will include a variety of activities, including:

  • Participation with iterative software development teams with adherence to all reporting requirements
  • Designing, developing and unit testing code for a production system and demonstration capabilities
  • Developing iterative screen mock ups, use of rapid prototyping to drive out requirements and design
  • Providing demonstrations and detailed walk through of features to a variety of technical and non-technical audiences
  • Meeting with stakeholders, analyzing requirements, developing user stories and related artifacts, and translating these into software development tasks
  • Working with systems engineers to specify and design the final system
  • Development of technical documentation and briefing materials to support program status reviews, control gates, and other presentations as directed by

Requirements

  • Demonstrated job experience with text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization)
  • Demonstrated job experience to cleanse and process (Extract, Transform, Load - ETL) large raw data sets.
  • Demonstrated job experience researching and implementing novel machine learning algorithms for new business problems
  • Demonstrated job experience developing proof of concepts of new technologies and evaluate the state of the art in machine learning algorithms for text analytics
  • Demonstrated job experience in designing (in Python and/or Java) and developing web-based platforms and services to perform data analytics on large data sets
  • Demonstrated ability to design, develop, test and implement new applications based on project requirements
  • Bachelor’s degree in Computer Science, Math, or other relevant field and minimum of six years of experience (Master’s degree equates to an additional 2 years of relevant work experience)

Optional:

  • Demonstrated job experience working in:
  • Linux (Bash) shell scripting
  • Machine learning tools such as TensorFlow
  • Solr or Elastic Search
  • Data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc)
  • NoSQL data stores such as MongoDB, DynamoDB, HBase, and Cassandra
  • Performing advanced analytics against big data
  • Development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment
  • Using tools such as spaCy, Apache OpenNLP, Stanford CoreNLP, NLTK, LingoClustering, or Gensim Natural Language Processing

Experience with Natural Language Processing, Agile software development teams using scrum technique, Jira, Confluence, and GitHub for documenting work, working in a project team (3-5 developers) with experience in decomposing concepts to discrete development tasks and managing your work to a deadline

Requires expert or mastery level knowledge of work area, typically obtained through advanced education combined with experience.

May have deep knowledge of project management. Advanced knowledge of related disciplines within work area and

ability to identify links and potential impact on projects, programs

or systems.

Typically requires:

A University Degree or equivalent experience and minimum 10 years

prior relevant experience, or An Advanced Degree in a related field and minimum 7 years experience Engineering/Other Technical Positions: Typically requires a degree

in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited

by local laws/regulations.

Employee Referral Award Eligibility: Only employees currently within RMD and RI&S have the potential to receive a Referral Award for submitting a referral to RMD and RI&S roles. ALL eligibility requirements must be met to receive the Referral Awarding.

NOT Relocation Eligible - Relocation assistance not available

This position requires a current TS/SCI clearance, with polygraph.

#RISCyber

Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Company Info.

Collins Aerospace

Collins Aerospace, a Raytheon Technologies subsidiary, is one of the world's largest suppliers of aerospace and defense products, headquartered in Charlotte, North Carolina, United States. Collins Aerospace is engaged in designing, manufacturing and servicing systems and components for commercial aviation, business aviation, military and defense, helicopters, space, airports, and other industries. Collins Aerospace has six strategic business unit

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Collins Aerospace is currently hiring Data Scientist Jobs in Herndon, VA, USA with average base salary of $126,000 - $246,300 / Year.

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