Machine Learning/Data Scientist

This is 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 Sponsor 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 program management
Mandatory Skills (in order of importance):
1. Demonstrated on-the-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)
2. Demonstrated on-the-job experience to cleanse and process (Extract, Transform, Load – ETL) large raw data sets.
3. Demonstrated on-the-job experience researching and implementing novel machine learning algorithms for new business problems
4. Demonstrated on-the-job experience developing proof of concepts of new technologies and evaluate the state of the art in machine learning algorithms for text analytics
5. Demonstrated on-the-job experience in designing (in Python and/or Java) and developing web-based platforms and services to perform data analytics on large data sets
6. Demonstrated on-the-job ability to design, develop, test and implement new applications based on project requirements
7. Bachelor’s degree in Computer Science, Math, or other relevant field and minimum of five years of experience (Master’s degree equates to an additional 2 years of relevant work experience)
Desired Skills (in order of importance):
1. Demonstrated on-the-job experience working in Linux (Bash) shell scripting
2. Demonstrated on-the-job experience with machine learning tools such as TensorFlow
3. Demonstrated on-the-job experience with Solr or Elastic Search
4. Demonstrated on-the-job experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc)
5. Demonstrated on-the-job experience with NoSQL data stores such as MongoDB, DynamoDB, HBase, and Cassandra
6. Demonstrated on-the-job experience with performing advanced analytics against big data
7. Demonstrated on-the-job experience with development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment
8. Demonstrated on-the-job experience using tools such as spaCy, Apache OpenNLP, Stanford CoreNLP, NLTK, LingoClustering, or Gensim Natural Language Processing
9. Demonstrated on-the-job experience with Natural Language Processing
10. Demonstrated on-the-job-experience in Agile software development teams using scrum techniques
11. Demonstrated on-the-job experience using Jira, Confluence, and GitHub for documenting work
12. Demonstrated on-the-job experience working in a project team (3-5 developers) with experience in decomposing concepts to discrete development tasks and managing your work to a deadline