Data Scientist - Elder Research

Data Scientist
On-site Location: Chantilly, VA
Home office: Arlington, VA

Elder Research Inc. is a recognized leader in data science, machine learning and AI. We pride
ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We are
looking for innovative and inquisitive self-starters who enjoy understanding a problem space
and building fast, efficient, and tractable data infrastructure to deliver real value for our clients.
As a Data Scientist, you will support robust and repeatable data manipulation, large scale
infrastructure for data ingestion, modeling and stunning data visualization for custom client
applications.

Summary of Position
We are looking for talented and motivated data scientists preferably with experience applying
AI/ML techniques against challenging cyber security problems. As a Data Scientist, you will work
directly with clients, managers and technical staff to understand business needs, develop
technical plans, and deliver data-driven analytical solutions that solve client problems. This role
is cyber security focused and may also require that you conduct or contribute to an assessment
of the client’s state of preparedness, (technical, cultural, and workforce) to integrate data
analytics into their daily operations. You will also create and deploy predictive models from a
variety of data sources and types using the latest mathematical and statistical methods.
Job Specifications/Requirements

• Ability to work on-site for 36-40 hours during a typical week
• TS/SCI with a CI-Polygraph
• Advanced Degree in technical field (M.S, or PhD) and 3-6 years of related work experience, OR B.S. in technical field with 4-7 years of work experience (equivalent experience many be considered in lieu or in combination with education requirements)
• Proficient with one of more of the following programming languages (Java, C++, Python, R)
• Demonstrated experience applying data science methods to real-world problems.
• Knowledge and experience in data wrangling, advanced statistical data analysis and modeling
• Capable of communicating complex models and concepts in non-technical language
• Comfortable learning new things and working outside of your comfort zone
• Experience working with some of the following technologies: AWS, Azure, NoSQL databases (MongoDB, DynamoDB, Redis, HBase, Cassandra, Accumulo, Neo4j, etc.), Caffe/TensorFlow/Keras/etc, Hadoop, Spark
• Proficiency with SQL

Desired Skills

• Experience supporting the cyber security mission space
• Experience in consulting; this includes preparing and presenting organizational and technology assessments
• Familiarity with more than one relational database (Oracle, PostgreSQL, etc.)
• Proficiency with unsupervised, semi-supervised, and supervised learning algorithms and technologies
• Experience building models that will be deployed to real-time environments
• Familiarity with the data science lifecycle (CRISP-DM, etc.)
• Security+ certified preferred

About Elder Research, Inc
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the
data mining business over 20 years, we pride ourselves in our ability to find creative, cutting
edge solutions to real-world problems. In keeping with our entrepreneurial spirit, we want
candidates who are self-motivated with an innate curiosity and strong team work. We work
hard to provide the best value to our clients and allow each person to contribute their ideas
and put their skills to use immediately.
Elder Research believes in continuous learning; each week the entire company attends a “Tech
Talk” followed by an office lunch. Elder Research provides a supportive work environment with
established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance
- with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research
enables and encourages its employees to serve others.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive
consideration for employment without regard to race, color, religion, sex, sexual orientation,
gender identity, national origin, or protected veteran status and will not be discriminated
against on the basis of disability.