Data Scientist

At Criterion Systems, we developed a different kind of business—a company whose real value is a reputation for excellence built upon the collective skills, talents, perspectives, and backgrounds of its people. By accepting a position with Criterion Systems, you will join a group of professionals with a collaborative mindset where we share ideas and foster professional development to accomplish our goals. In addition to our great culture, we also offer competitive compensation and benefit packages, company-sponsored team building events, and advancement opportunities. To find out more about how Criterion can help you take your career to the next level please visit our website: www.criterion-sys.com. Criterion Systems is a Military/Veteran Friendly Company therefore we encourage Veterans to apply. Responsibilities We are seeking a mission-focused Data Scientist to support and contribute to our government customer’s success in Reston, Chantilly, or McLean, VA! Duties, Tasks & Responsibilities: Demonstrated experience programming in Python. Demonstrated experience analyzing questions, formulating requirements, determining suitable analytic approaches, evaluating results, and communicating findings to partners and stakeholders. Demonstrated experience working with data in a variety of structured and unstructured formats. Demonstrated experience with a variety of database tools, such as SQL and Presto, and data lakes/S3 data. Demonstrated experience with data visualization tools, such as notebook-based visualization libraries, especially Elasticsearch, Kibana, and Tableau. Demonstrated ability to translate complex, technical findings into an easily understood narrative in graphical, verbal, or written form. Demonstrated experience programming in common compiled or interpreted languages, such as Python and R. Demonstrated experience with data management tools, such as Hadoop, MapReduce, or similar. Demonstrated experience conducting data science using the Apache Zeppelin and Jupyter notebooks platforms and Spark/Pyspark. Demonstrated experience collaborating with colleagues to develop customer-tailored products. Demonstrated experience with AI/ML, such as natural language processing in a production environment. Qualifications Required Experience, Education, Skills & Technologies: Minimum of 10 years of overall experience with at least 5 years focused on providing support in the area of data science. Security Clearance Level: TS/SCI with a favorable polygraph Work Schedule: Full-time on-site Benefits Offered Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Tuition/Training Assistance, Parental Leave, Paid Time Off, and Holidays.