Position Title: Data Scientist Location: Chantilly, VA Security Clearance Type: TS/SCI Position Status: Full time / Direct Hire Compensation: Negotiable
We have an opportunity for an experienced Senior Data Scientist (Technical Specialist) to join our client’s Cyber Engineering team. The position is in Chantilly, VA with meetings in Arlington, VA on a periodic basis. This position requires an active/current fully adjudicated TS/SCI (Top Secret/SCI and ability to achieve DHS Suitability to be considered.
We are seeking someone with ERWin or other data modeling tools. Ability to develop descriptive, predictive, or prescriptive analytics to make sense of structured and unstructured data. Knowledge of cloud/virtual content architectures, data standards & workflows, and best practices.
Involved in the analysis of unstructured and semi-structured cyber security and related data.
Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases.
Has the ability to make discoveries in the world of big data. Requires strong technical and computational skills - engineering, physics, mathematics.
Has the ability to utilize advanced tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
Visualize information using a range of tools, developing scripts & algorithms, creating explanatory models addressing cyber domain expertise
Explore leading analytics approaches and methods to improve model-driven methodology concepts
Lead initiatives to develop and refine collections and analytic methods, collaborating with analysts
Provide innovative analytics solutions for highly complex data challenges
Develop and apply quantitative and qualitative analytic methods to identify, collect, process, and analyze large datasets
Develop and maintain data quality metrics and measures
Identify trends, solve analytical problems, optimize performance, and develop results through appropriate data analytics techniques (data mining and retrieval). Develop and show value of analytics
Develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products and processes
Conduct data mining and retrieval and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence
Ability to develop descriptive, predictive, or prescriptive analytics to make sense of structured and unstructured data
Knowledge of cloud/virtual content architectures, data standards & workflows, and best practices
Experience in system activity and data modeling, information flow / transactional process analysis, business methods, and performance measurements techniques
Strong oral, writer, and presentation skills
Prior experience with ERWin or other data modeling tools (desired)
Familiarity with data analytic and presentation tools such as Tableau
EDUCATION / TECHNICAL QUALIFICATIONS:
12 to 15 years with BS/BA or 10 to 13 years with MS/MA or 7 to 9 years with Ph.D.
BS in Data Science, software engineering, or related technical discipline (Engineering or IT)
Relevant Data Scientist / Architect / Engineering Professional credentials, academic certification, and /or training
One or more of these certifications: INCOSE, ITIL, CISSP, Agile (Data Analytics area as well)
Familiarity with working on SAFe agile projects
About Seneca Resources:
Seneca Resources is client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Alabama, Texas, Georgia, Pennsylvania & Virginia that service clients throughout the United States. The key to our success lies within our strong corporate culture which drives our business. We challenge our staff through engaging work, and we reward our staff through competitive compensation, extensive professional training, and excellent opportunities for career advancement. In turn, we look for only the best and brightest to join our team.
We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.