Data Scientist

Armison Tech; Chantilly (VA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Excellent benefits

Career development opportunities

Job summary

A cybersecurity-focused technology firm in Chantilly, VA, is seeking a Data Scientist skilled in data visualization and analysis. The ideal candidate will have a TS/SCI clearance and expertise in Python, SQL, and various visualization tools. Responsibilities include data cleansing, analysis, and developing dashboards to facilitate data-driven decisions. The company offers competitive compensation and robust benefits for its employees.

Qualifications

• Must maintain active/current TS/SCI with a polygraph clearance.
• Experience with extract, transform, and load procedures.
• Design and implement ETL workflows using Python and SQL.
• Integrate disparate data sources into cloud-based environments.
• Analyze large volumes of data to identify trends.

Responsibilities

• Assist the team with presenting learning related data.
• Perform data cleansing, parsing, and standardization.
• Conduct reviews of large datasets for expert analysis.
• Build dashboards and visualizations for data-driven decisions.
• Translate business needs into technical requirements.

Skills

Data visualization

Data analysis

ETL procedures

Python

SQL

Tableau

Power BI

Natural Language Processing (NLP)

Cloud environments

Relational databases

Tools

Tableau Prep

NiFi

AWS

Azure

Elasticsearch

NoSQL

Job description

Armison Tech is a minority owned small business, established in 2012, located in the Northern Virginia area. We're a company predominantly focused on cyber security for our government customers yet our expertise in other areas include big data analytics, instructional design, information management, and computer network infrastructure. We invest in our employees' careers by participating in cutting edge cyber security training and attending industry leading conferences. As a small business we offer flexibility and powerful benefits supporting our most important assets, our employees and their families.

Armison Tech is constantly searching for exceptionally qualified technology professionals who would make a great addition to our team. Our staff, just like our clients and the work we do, is what makes Armison Tech a truly effective partner. As we help each of our new employees make adjustments to our operational methods, we make sure every professional is able to handle the workload of each project by resolving any relevant concerns or issues they may have relating to this recent career shift.

Our hiring process seeks to accentuate the raw talent and skill‑set of our team members. Along with the importance of experience and education, Armison Tech looks for the superior analytical and communication ability that separates our employees from what we’ve seen while working with some similar companies. Individuals we employ must have a demonstrated ability to excel in high‑pressure situations which have a real impact on the modern world so we can continue to keep pace with the competition and the evolving fields of technology.

Data Scientist

Location: Chantilly, VA (on‑site client environment)

Clearance: TS/SCI with polygraph

Compensation: Competitive, Excellent Benefits

Only applicants with the active required security clearance and are U.S. Citizens will be reviewed.

Armison Tech is looking for a candidate skilled in data visualization and analysis to assist the team with accurate information and presentation of learning related data in order to fulfill our Customer's needs and facilitate data driven decisions. You will perform data cleansing, parsing, and standardization, and conduct reviews of large, mission‑critical datasets, to provide your expert analysis, as well as deliver insights for other domain and subject matter experts.

Required Skills and Demonstrated Experience

• Must maintain active/current TS/SCI with a polygraph clearance.
• Demonstrated experience performing extract, transform, and load procedures.
• Demonstrated experience designing and implementing ETL workflows using Python, SQL, and NiFi to ingest and transform complex datasets.
• Experience integrating disparate data sources into cloud‑based analytic environments and production systems.
• Experience analyzing large volumes of raw data to identify trends, patterns, and business insights.
• Experience building dashboards and visualizations using Tableau, Tableau Prep, Power BI, and Excel.
• Demonstrated experience performing NLP tasks using Spacy, NLTK, Gensim, and HuggingFace Transformers.
• Experience applying encoder‑decoder and generative language models using PyTorch, TensorFlow, or Keras.
• Experience tuning LLMs on custom datasets and evaluating model performance for mission‑specific use cases.
• Demonstrated experience querying and managing relational databases using SQL, Oracle, PostgreSQL, and MySQL.
• Experience designing logical data architectures and implementing scalable storage solutions.
• Experience developing PL/SQL scripts, triggers, and stored procedures for secure data operations.
• Experience working with Elasticsearch and NoSQL systems for search and discovery applications
• Experience deploying and managing data science environments in AWS and Azure.
• Experience translating business needs into technical requirements and data strategies.

The duties and responsibilities listed in this job description generally cover the nature and level of work being performed by individuals assigned to this position. This is not intended to be a complete list of all duties, responsibilities, and skills required. Subject to the terms of an applicable collective bargaining agreement, the company management reserves the right to modify, add, or remove duties and to assign other duties as may be necessary. We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted.

Armison Tech is an equal opportunity employer. All applicants will receive consideration for employment, without regard to race, color, religion, creed, national origin, gender or gender‑identity, age, marital status, sexual orientation, veteran status, disability, pregnancy or parental status, or any other basis prohibited by law.