Job Description
Description
LinQuest is seeking a Data Scientist to join our team. US Citizenship and the ability to obtain a DoD Secret security clearance is required.
LinQuest solves the toughest problems for our clients by extracting insight from data and delivering greater decision confidence. Our analysts are involved in a wide range of activities that range from understanding and transforming data, applying state of the art analytic techniques, and driving business impact through insight visualization. Our analysts are leveraged across of range of projects, such as advanced analytics, business intelligence, and application development. LinQuest analysts collaborate with Operations Research Analysts, Software Development Professionals, Data Architects, and DOD Subject Matter Experts.
As a Data Scientist, the candidate will be adept at using large data sets to find opportunities for business optimization and using models to test the effectiveness of different courses of action. The Data Scientist candidate should have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and/or creating/running simulations. Candidates must have a proven ability to generate data-driven insights. Candidates must be comfortable working with a wide range of stakeholders and functional teams and have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities:
Assist with executing analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Research state-of-the-art data mining methods and innovative statistical models
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
Develop code for predictive/prescriptive models with applied machine learning and other modeling techniques
Clearly document and present methodology, assumptions, and findings to stakeholders
Required Skills:
Analytical and problem-solving skills with hands on experience with driving analytic insights.
Ability and motivation to self-teach in order to stay current with leading best practices in analytics.
Ability to tackle difficult problems specifically working with unstructured textual data.
Data wrangling skills.
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.
Preferred Skills:
Exploratory Data Analysis
Solid understanding of applied machine learning methods and algorithms
Applied statistics skills, such as distributions, statistical testing, regression, etc.
Data-oriented personality with proficiency in using data query languages such as SQL and ability to understand various data structures and common methods in data transformation
Ability to use data visualization to communicate value of insights
Required Experience:
Bachelor Degree
Hands on experience performing analysis to solve problems.
Manipulating data with Python or R
Developing data pipelines to support Analytics
Applying advanced analytics and machine learning techniques
Documenting and communicating results of analysis
Familiarity with SQL and BI Tools (Tableau, Qlik etc.)
US Citizenship and the ability to obtain a DoD Secret clearance
Preferred Experience:
Current/Active government security clearance
Text mining and unstructured data analysis techniques such as Named Entity Recognition and Text Classification
NLP tools such as SpaCy and models such as BERT
Graph Analysis tools such as Neo4J and Cypher
Databricks, RDD, PySpark
RShiny App Development
Predictive and Prescriptive analysis
Benefits: LinQuest offers comprehensive and competitive benefit offerings to our team members to include medical, dental, vision, retirement, paid time off, company paid life insurance, and more! For additional information please visit:
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.
Qualifications
Education
Bachelors (preferred)
Licenses & Certifications
Ability to Obtain (required)
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
We are an Equal Opportunity Employer, we are committed to providing a work environment that values and respects each Team Member as an individual and important member of our culturally diverse organization. In keeping with this commitment, the Company is dedicated to providing a work environment free from any type of discrimination based upon race, color, religion, national origin, ancestry, gender, pregnancy, age, sexual orientation, gender expression and identity, covered veteran and military status, marital status, disability, medical condition, genetic characteristics, political affiliation, or any other classification protected by law. This commitment and policy applies to all areas of employment.
