Data Scientist
Herndon, Virginia, United States
Full Time Senior-level / Expert Clearance required USD 125K - 194K *
Position Summary:
LinQuest Corporation has a stellar 40-year track record of providing end-to-end system-of-systems (SoS) architecture definition, engineering design, integration and test, and operations expertise to enable full lifecycle development and deployment of pre-eminent Space, Air, Land, Sea, Ground, and Cyberspace game-changing capabilities across US DOD and IC Customers’ portfolios. Unique combination of in-depth domain knowledge, lessons learned-honed best practices, and mission-specific applications of principles, tools, and techniques of Digital Engineering (DE), DE Ecosystem (DEE), and Model-Based Systems Engineering (MBSE) set LinQuest apart from the competition to consistently deliver stellar high-value results for our customers. LinQuest’s corporate vision and values place the employee at the center of utmost customer satisfaction, strategic business growth, and tactical execution excellence. Our employees’ creative and inspirational drive, sense of fulfillment of personal and professional growth, and tightknit camaraderie within and across lines of business are essential in gaining and maintaining exceptional LinQuest corporate-wide results of new business awards and renewed contracts.
We are looking for a self-driven, bold, and passionate Data Scientist to LinQuest (LQ) on an exciting journey of professional thrill and personal growth as the LQ Team helps a critical local customer achieve its goals in digital transformation.
Key Responsibilities:
- Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
- Process, cleanse, and verify the integrity of data used for analysis
- Clearly document and present methodology, assumptions, and findings
- Consult with subject matter experts to create relevant and effective tracking metrics
- Use Python and Tableau Prep to create and maintain multiple data artifacts that are updated daily
- Create and Maintain Tableau dashboards for several projects
- Provide analyses that contribute to a process lifecycle
Required Skills and Experience:
- Significant experience using Python in a data wrangling environment
- Significant experience in creating effective statistical analysis and data visualizations
- Strong analytical and problem-solving skills with hands on experience with driving analytic insights.
- Ability and motivation to self-teach to stay current with leading best practices in analytics.
- Ability to tackle difficult problems specifically working with unstructured textual data.
- Expected to deliver in a fast-paced, team-oriented work environment.
- Must thrive in satisfying analytic requirements from diverse user base.
- Expected to be able to adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization.
- Must have the knowledge and communication skills to articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
- Strong interpersonal and team-building skills, as well as clear and concise written, verbal communications and presentation skills.
- Proficient in Microsoft Office products (Word, Excel, PowerPoint)
- TS SCI with CI Poly required.
Preferred Skills:
- Significant Tableau and Tableau Prep experience
- Experience with performance management tools
- Experience in creating Python scripts to automate a data pipeline
- Experience supporting data exchanges in a TS/SCI environment
Required Experience:
- Bachelor’s Degree in a computer, mathematics, or data-related discipline
- Compelling data wrangling experience
- Active TS/SCI w/ CI Poly required
- Travel - <10% for Contract Support
Preferred Experience:
- Master’s Degree in a computer, mathematics, or data-related discipline
- Knowledge/exposure to system engineering for satellite systems, ground-based mission systems or mission operations.
- Experience with spaCy or other NLP tools
- Extract, Transform, Load (ETL) experience
Why LinQuest?
LinQuest Corporation has a stellar 40-year track record of providing end-to-end system-of-systems (SoS) architecture definition, engineering design, integration and test, and operations expertise to enable full lifecycle development and deployment of pre-eminent Space, Air, Land, Sea, Ground, and Cyberspace game-changing capabilities across US DOD and IC Customers’ portfolios. Unique combination of in-depth domain knowledge, lessons learned-honed best practices, and mission-specific applications of principles, tools, and techniques of Digital Engineering (DE), DE Ecosystem (DEE), and Model-Based Systems Engineering (MBSE) set LinQuest apart from the competition to consistently deliver stellar high-value results for our customers. LinQuest’s corporate vision and values place the employee at the center of utmost customer satisfaction, strategic business growth, and tactical execution excellence. Our employees’ creative and inspirational drive, sense of fulfillment of personal and professional growth, and tightknit camaraderie within and across lines of business are essential in gaining and maintaining exceptional LinQuest corporate-wide results of new business awards and renewed contracts.
Benefits:
LinQuest offers comprehensive and competitive benefit offerings to our team members to include medical, dental, vision, retirement, paid time off, tuition reimbursement, company paid life insurance, and more! For additional information please visit: https://www.linquest.com/careers/our-benefits
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data analysis Data visualization Engineering ETL Excel Mathematics NLP Python spaCy Statistics Tableau
Perks/benefits: Career development Health care Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Business Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Research Scientist jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs