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data scientist - junior

data scientist junior

QinetiQ

<div>Company Overview:
<div>
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).</div><div></div><div><br>
QinetiQ US&rsquo;s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.</div><div></div><div><b><br>
Why Join QinetiQ US?</b></div><div></div><div><br>
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.</div>
Position Overview:
<div>
QinetiQ US seeks an enthusiastic Junior Data Scientist to join a federal law enforcement agency client. This entry-level role provides an excellent opportunity to begin a career in data science while supporting the agency with data analysis and insights.</div><div><br>
Working closely with senior team members, you will learn to utilize platforms such as Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL to support data analysis for the Law Enforcement Lifecycle. This role offers extensive mentorship and training opportunities while contributing to mission-critical federal operations.</div><br>
<div></div>
Responsibilities:
<h3 class="jobSectionHeader"><b>Data Analysis &amp; Learning</b></h3><ul><li>
Learn to apply basic mathematical methods to analyze datasets using R or Python under senior guidance</li><li>
Support data preparation, cleaning, and validation activities for agency systems</li><li>
Assist with basic statistical analysis and data exploration tasks</li><li>
Learn fundamental concepts of predictive modeling and discrete event simulation (DES)</li><li>
Participate in training on multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining</li><li>
Assist in the professional and technical development of fellow staff</li></ul><h3 class="jobSectionHeader"><b>
Technology Platform Exposure</b></h3><ul><li>
Gain hands-on experience with platforms including: Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python, and SQL</li><li>
Learn to perform basic queries and data extraction using SQL, MS Access, and MS Excel</li><li>
Support senior team members with data processing and analysis tasks</li><li>
Participate in training on High-Performance Computing (HPC) environments</li></ul><h3 class="jobSectionHeader"><b>
Data Processing Support</b></h3><ul><li>
Assist with basic data pipeline activities and data integration tasks</li><li>
Learn to work with federal government data from various sources under supervision</li><li>
Support data quality checks and validation processes</li><li>
Help with extract, transform, load (ETL) operations for law enforcement data</li></ul><h3 class="jobSectionHeader"><b>
Documentation &amp; Reporting</b></h3><ul><li>
Learn to create basic reports and visualizations using tools like RMarkdown or Jupyter Notebook</li><li>
Assist in preparing data summaries and presentations for team review</li><li>
Support documentation of analytical processes and findings</li><li>
Practice communicating technical concepts to various audiences</li></ul><h3 class="jobSectionHeader"><b>
Administrative Support</b></h3><ul><li>
Participate in team meetings and training sessions</li><li>
Assist with project documentation and tracking</li><li>
Support ad-hoc data requests and analysis tasks</li><li>
Help maintain organized data files and project materials</li></ul><h3 class="jobSectionHeader"><b>
Professional Development</b></h3><ul><li>
Participate in mentorship programs with senior data scientists</li><li>
Attend training sessions on federal data requirements and security protocols</li><li>
Learn about agency systems and law enforcement operations</li><li>
Develop understanding of government data analysis standards and practices</li></ul>
Required Qualifications:
<h3 class="jobSectionHeader"><b>Education &amp; Experience</b></h3><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or related technical field</li><li>
0-2 years of relevant experience (new graduates welcome)</li><li>
Strong academic background in mathematics, statistics, or computer science</li></ul><h3 class="jobSectionHeader"><b>
Desired Technical Skills</b></h3><ul><li>
Basic proficiency in R or Python programming</li><li>
Fundamental understanding of statistics and data analysis concepts</li><li>
Familiarity with SQL and database concepts</li><li>
Basic experience with data visualization tools</li><li>
Understanding of Excel and basic data manipulation</li><li>
Strong analytical and problem-solving skills</li></ul><h1 class="jobSectionHeader"><b>
Security Requirements</b></h1><ul><li>
Ability to obtain and maintain appropriate federal security clearance.</li><li>
Background investigation required.</li><li>
Must be U.S. citizen.</li></ul>
Preferred Qualifications:
<h3 class="jobSectionHeader"><b>Educational Background</b></h3><ul><li>
Coursework or projects involving data analysis, machine learning, or statistics</li><li>
Experience with programming languages beyond basic requirements</li><li>
Academic projects using real-world datasets</li><li>
Understanding of research methodologies</li></ul><h3 class="jobSectionHeader"><b>
Technical Exposure</b></h3><ul><li>
Familiarity with any business intelligence tools (Tableau, Power BI, etc.)</li><li>
Basic understanding of cloud computing platforms</li><li>
Exposure to version control systems like GitHub</li><li>
Understanding of data privacy and security concepts</li></ul><h3 class="jobSectionHeader"><b>
Additional Experience</b></h3><ul><li>
Internships or co-op experience in data analysis or related fields</li><li>
Academic research experience involving data</li><li>
Participation in data science competitions or projects</li><li>
Volunteer work involving data analysis</li></ul>
Company EEO Statement:<div></div><div><b><br>
Accessibility/Accommodation:</b></div><div>
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.</div><div></div><div><br>
QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</div></div>

Data Scientist - Junior

SAIC

<div><p>Job ID: 2510336</p><p><b>
Location: </b>WASHINGTON, DC, US</p><p><b>
Date Posted: </b>2025-09-29</p><p><b>
Category: </b>Information Technology</p><p><b>
Subcategory: </b>Data Scientist</p><p><b>
Schedule: </b>Full-time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>No</p><p><b>
Minimum Clearance Required: </b>Interim Secret</p><p><b>
Clearance Level Must Be Able to Obtain: </b>Secret</p><p><b>
Potential for Remote Work: </b>Yes</p><p><b><br>
Description</b>
</p><p>Join SAIC in supporting our enterprise data and analytics initiatives. As a Data Scientist, you&rsquo;ll advance our customers&rsquo; analytics and AI mission. As a Data Scientist, you&rsquo;ll design predictive models, apply AI/ML algorithms, and deliver insights that improve operational readiness and decision-making.</p><p><b>
Duties and Responsibilities:</b></p><ul><li>
Design predictive models and simulations</li><li>
Develop AI/ML algorithms</li><li>
Perform statistical analysis and data mining</li><li>
Deliver actionable insights to mission stakeholders</li></ul><p><b>
Qualifications</b>
</p><p><b>Required Qualifications:</b></p><ul><li>
Active Secret Clearance, or ability to acquire one</li><li>
Master&rsquo;s degree and 7+ years, Bachelor&rsquo;s degree in data science, statistics, computer science, or related, or equivalent and 10+ years of related experience</li><li>
5+ years of data science/AI/ML experience</li><li>
Proficient in Python, R, Jupyter, TensorFlow, PyTorch</li><li>
Strong writing and presentation skills</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
DoD/IC data science experience</li><li>
Cloud certification (AWS, Azure)</li></ul><br>
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Data Scientist

DarkStar Intelligence

<div><p><b>SENIOR HUMINT DECISION SCIENTIST</b><br>
<b>Location:</b> Quantico, VA | <b>Type:</b> Full-Time | <b>Clearance:</b> TS/SCI with CI Polygraph
</p><p><b>Overview</b></p><p>
DarkStar Intelligence is seeking a Senior HUMINT Decision Scientist to integrate behavioral science and data analytics into HUMINT operations. This position focuses on improving analytic judgment, operational decision-making, and mission effectiveness. The Senior HUMINT Decision Scientist will lead efforts to evaluate, redesign, and optimize analytic workflows, training programs, and policy frameworks to ensure that intelligence teams make better, faster, and more defensible decisions.
</p><p><b>Key Responsibilities</b></p><ul><li>
Analyze and improve HUMINT decision-making processes across collection, targeting, and reporting.</li><li>
Design and conduct empirical evaluations of workflows, policies, and decision-making environments.</li><li>
Develop and deliver training programs that enhance analytic judgment, mitigate bias, and strengthen critical thinking.</li><li>
Apply statistical modeling, data visualization, and performance metrics to measure and improve HUMINT mission outcomes.</li><li>
Collaborate with leadership to prescribe workflow modifications that improve productivity and operational accuracy.</li><li>
Produce actionable recommendations and analytic products for senior stakeholders.</li></ul><p><b>
Minimum Qualifications</b></p><ul><li>
Active TS/SCI with CI Polygraph.</li><li>
Master&rsquo;s degree in Decision Science, Industrial-Organizational Psychology, Data Science, or related field (PhD preferred).</li><li>
7+ years of experience applying behavioral science or data analytics to intelligence, defense, or national security operations.</li><li>
Expertise in designing and evaluating decision-support systems, training programs, or workflow processes.</li><li>
Proficiency with analytic tools (R, Python, or similar) and data visualization platforms.</li><li>
Strong understanding of HUMINT tradecraft and operational decision-making cycles.</li><li>
Proven ability to brief senior leaders and influence organizational change.</li></ul><p><b>
Desired Qualifications</b></p><ul><li>
PhD in a relevant discipline.</li><li>
Prior experience supporting HUMINT operations or decision-making within DIA, DoD, or Combatant Commands.</li><li>
Experience mentoring or training intelligence professionals.</li><li>
Familiarity with organizational change management and performance improvement frameworks.</li></ul><p><b>
Compensation &amp; Benefits</b></p><p><b>
Salary Range:</b> $130,000 &ndash; $160,000 annually. Final compensation will be based on experience, qualifications, internal equity, and market data. DarkStar provides a competitive and comprehensive benefits package designed to support the well-being and long-term success of our full-time employees.
</p><p><b>Additional Details</b></p><p><b>
Travel:</b> Up to 10%<br>
<b>Work Environment:</b> On-site, Quantico, VA
</p><p><b>Security Note</b></p><p>
All applicants must be U.S. citizens and maintain eligibility for a U.S. government security clearance.
</p><p><b>About DarkStar Intelligence</b></p>
<p>DarkStar Intelligence is a Service-Disabled Veteran-Owned Small Business (SDVOSB) committed to advancing national security through mission support and tradecraft development. We prioritize both client satisfaction and employee retention, delivering high-quality, intelligence-based solutions grounded in our <b>&ldquo;Core Four&rdquo;</b> values:
</p><ul><li><b>Humility: </b>We place mission success above personal recognition.</li>
<li><b>Passion: </b>We bring enthusiasm and dedication to every challenge.</li>
<li><b>Agility: </b>We adapt quickly to evolving operational needs.</li>
<li><b>Ownership:</b> We hold ourselves accountable for results and uphold the highest standards of excellence.</li>
</ul>
<p>We are mission-driven and results-oriented, striving to make our country safer through every task we undertake.</p>
<p><b>Equal Employment Opportunity (EEO) Commitment</b></p>
<p>At DarkStar Intelligence LLC, we are committed to maintaining a professional and legally compliant work environment where individuals are treated with respect and fairness. We adhere strictly to all applicable Equal Employment Opportunity (EEO) laws and regulations.</p>
<p>Employment decisions at DarkStar are made solely on the basis of individual qualifications, performance, and business needs. We prohibit discrimination in all aspects of employment&mdash;including hiring, compensation, promotion, training, discipline, and termination&mdash;on the basis of: Race or color, Religion, Sex (including pregnancy, sexual orientation, and gender identity), National origin, Age, Disability, Genetic information, Veteran status. Or any other status protected by applicable federal, state, or local law</p>
<p>Our EEO standards are embedded in all employment practices to ensure compliance, fairness, and accountability. We enforce a zero-tolerance policy for unlawful discrimination or harassment and encourage employees to report concerns without fear of retaliation.</p>
<p><b>EEO Flyer:</b> shorturl.at/abpNX</p>
<p><b>Employee Benefits</b></p>
<p>DarkStar Intelligence provides a competitive and comprehensive benefits package to support the health, financial stability, and personal well-being of our team members.</p>
<p><b>Core Benefits for employees:</b></p>
<ul><li><b>Health Coverage:</b> Medical, dental, and vision plans</li>
<li><b>Income Protection: </b>Life insurance, short-term disability, and long-term disability</li>
<li><b>Retirement Planning: </b>401(k) plan with employer contributions</li>
<li><b>Work-Life Support</b>: Employee Assistance Program (EAP) and legal services</li>
<li><b>Paid Leave: </b>Generous PTO, 11 paid federal holidays, and one floating holiday</li>
</ul>
<p><b>Voluntary Benefits:</b></p>
<ul><li><b>Legal &amp; Identity Protection: </b>LegalShield and IDShield</li>
<li><b>Additional Insurance: </b>Whole life, accident, and critical care coverage</li>
</ul>
<p>We believe in recognizing and supporting the professionals who make our mission possible. Your well-being is an investment in our collective success.</p><p>
</p><p>mYXALQa2Dc</p></div>

Senior HUMINT Decision Scientist

<div>Company Overview:
<div>
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).</div><div></div><div><br>
QinetiQ US&rsquo;s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.</div><div></div><div><b><br>
Why Join QinetiQ US?</b></div><div></div><div><br>
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.</div>
Position Overview:
<div>
QinetiQ US seeks a highly skilled Senior Data Scientist to support a federal law enforcement agency client. This role is responsible for collecting, analyzing, and interpreting law enforcement data to drive informed operational decisions and improve data quality across agency systems. Your expertise in utilizing Databricks, Oracle (OBIEE/OAS), UiPath, Python programming, SQL, and data visualization will be crucial in identifying data quality issues, developing automated solutions, and providing valuable recommendations to federal stakeholders.</div><br>
<div></div>
Responsibilities:
<h3 class="jobSectionHeader"><b>Data Quality Analysis &amp; Engineering</b></h3><ul><li>
Apply appropriate mathematical methods to statistically analyze agency data quality issues using Python, R, and SQL</li><li>
Create tools for identifying, monitoring, and implementing data quality solutions utilizing Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, and SQL</li><li>
Develop algorithms for automated data quality error remediation and validation processes</li><li>
Ensure accuracy of data uploaded to agency systems</li></ul><h3 class="jobSectionHeader"><b>
Advanced Analytics &amp; Automation</b></h3><ul><li>
Conceptualize, plan, design, and develop machine learning algorithms for data quality optimization and automated error detection</li><li>
Implement predictive models to identify potential data quality issues before they impact operations</li><li>
Perform multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining on law enforcement datasets</li><li>
Develop automation solutions using emerging tools including UiPath for repetitive data quality tasks</li></ul><h3 class="jobSectionHeader"><b>
Reporting &amp; Communication</b></h3><ul><li>
Produce executive-level summary reports and briefings of data quality analysis results using RMarkdown, Jupyter Notebook, or equivalent tools</li><li>
Create comprehensive audit reports for agency Dashboards ensuring accuracy, completeness, and usability standards</li><li>
Develop data visualizations and dashboards for federal stakeholders to monitor data quality metrics</li><li>
Present complex technical findings to federal staff and law enforcement personnel in accessible language</li></ul><h3 class="jobSectionHeader"><b>
Technical Support &amp; Collaboration</b></h3><ul><li>
Provide ad hoc after-hours support for emergency taskings requiring advanced analytics</li><li>
Collaborate with federal staff to identify and resolve historical data errors in law enforcement systems</li><li>
Support development of training materials and system documentation for data quality processes</li><li>
Serve as technical subject matter expert for cross-unit data quality initiatives</li><li>
Assist in the professional and technical development of fellow staff</li></ul>
Required Qualifications:
<div><b>
Education &amp; Experience:</b></div><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, or related technical field</li><li>
Minimum 10 years of relevant data science and analytics experience</li></ul><div><b>
Technical Requirements:</b></div><ul><li>
Demonstrated proficiency in R and Python, and familiarity with other leading statistical and data analytical software and frameworks, including Databricks and Qlik</li><li>
Proven ability to produce executive level summary reports/briefings using RMarkdown or Jupyter Notebook</li><li>
Experience implementing the Data Analysis Epicycle and skilled in performing multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining</li><li>
Experience working with federal government categorical data from flat files, data warehouses, and external/academic sources</li></ul><div><b>
Government Experience:</b></div><ul><li>
Experienced working with federal law enforcement or homeland security categorical data from flat files, data warehouses, and external sources</li><li>
Direct experience interfacing with federal agencies as an employee or contractor, preferably at DHS</li><li>
Demonstrated experience supporting data quality initiatives in government systems</li><li>
Must have experience explaining complex technical concepts to federal government clients</li></ul><h1 class="jobSectionHeader"><b>
Security Requirements</b></h1><ul><li>
Ability to obtain and maintain appropriate federal security clearance.</li><li>
Background investigation required.</li><li>
Must be U.S. citizen.</li></ul>
Preferred Qualifications:
<h3 class="jobSectionHeader"><b>Specialized Experience</b></h3><ul><li>
Experience supporting federal homeland security initiatives</li><li>
Background in immigration enforcement, law enforcement operations, or related domains</li><li>
Experience with DHS systems and processes</li><li>
Familiarity with law enforcement operational requirements and data structures</li></ul><h3 class="jobSectionHeader"><b>
Professional Certifications (Optional)</b></h3><div><b>
Advanced Data Science:</b></div><ul><li>
Certified Senior Data Scientist (CSDS)</li><li>
Certified Analytics Professional (CAP)</li></ul><div><b>
Machine Learning and AI:</b></div><ul><li>
Microsoft Azure AI Engineer Associate or Azure Data Scientist Associate</li><li>
AWS Certified Machine Learning &ndash; Specialty</li><li>
Google Professional Machine Learning Engineer</li><li>
Databricks certified professional</li></ul><h3 class="jobSectionHeader"><b>
Additional Technical Skills</b></h3><ul><li>
Experience with ArcGIS and geospatial analysis</li><li>
Advanced knowledge of ServiceNow platform</li><li>
Experience with Microsoft Power Suite (Power BI, Power Apps, Power Automate)</li><li>
High-Performance Computing (HPC) experience</li><li>
Experience with GitHub and collaborative development practices</li></ul>
Company EEO Statement:<div></div><div><b><br>
Accessibility/Accommodation:</b></div><div>
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.</div><div></div><div><br>
QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</div></div>

Senior Data Scientist

<div>Company Overview:
<div>
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).</div><div></div><div><br>
QinetiQ US&rsquo;s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.</div><div></div><div><b><br>
Why Join QinetiQ US?</b></div><div></div><div><br>
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.</div>
Position Overview:
<div>
QinetiQ US seeks a talented Mid-Level Data Scientist to support a federal law enforcement agency client. This role supports the collection, analysis, and interpretation of complex law enforcement data to drive data quality improvements and enhance operational efficiency for the agency.<br>
Working under the guidance of senior team members, you will utilize platforms such as Databricks, Oracle (OBIEE/OAS), UiPath, Python, R, VBA, and SQL to identify data quality issues, develop automated solutions, and extract insights from complex datasets supporting agency operations. You should be able to communicate technical findings effectively to federal government clients and law enforcement personnel.</div><br>
<div></div>
Responsibilities:
<h3 class="jobSectionHeader"><b>Data Quality Analysis &amp; Support</b></h3><ul><li>
Apply mathematical methods to statistically analyze agency datasets using R or Python to identify data quality issues and patterns</li><li>
Support development and implementation of predictive modeling for early detection of data quality problems</li><li>
Assist in developing algorithms for automated data quality validation and error remediation</li><li>
Support implementation of the Data Analysis Epicycle and assist with multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining on law enforcement data</li></ul><h3 class="jobSectionHeader"><b>
Technology Platform Support</b></h3><ul><li>
Work with platforms including: Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, SQL, and data visualization tools</li><li>
Support development of automation tools for data quality monitoring and remediation</li><li>
Perform queries, conduct analysis, and produce reports utilizing SQL, Python, R, MS Access, and MS Excel</li><li>
Assist in creating and maintaining automated workflows using UiPath</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Integration</b></h3><ul><li>
Assist in development of data quality validation processes for agency systems</li><li>
Support work with federal law enforcement categorical data from flat files, data warehouses, and external sources</li><li>
Help maintain data accuracy and integrity processes for agency reporting systems</li><li>
Support extract, transform, load (ETL) operations with data quality checkpoints</li><li>
Assist in ensuring accuracy of data uploaded to UIP DQI Verify</li></ul><h3 class="jobSectionHeader"><b>
Reporting &amp; Communication</b></h3><ul><li>
Assist in producing executive-level summary reports of data quality analysis results using RMarkdown or Jupyter Notebook</li><li>
Support creation of audit reports for agency Dashboards ensuring accuracy, completeness, and usability standards</li><li>
Participate in monthly teleconferences with field offices and data quality POCs</li><li>
Create visualizations and dashboards that effectively communicate data quality metrics and trends</li></ul><h3 class="jobSectionHeader"><b>
DQI Operations Support</b></h3><ul><li>
Help identify potential agency data quality issues and support development of resolution methods</li><li>
Assist in addressing training gaps and providing recommendations for system usability improvements</li><li>
Support evaluation and resolution of historical data errors in law enforcement systems</li><li>
Contribute to development of training materials and documentation in Confluence</li><li>
Assist with monitoring and responding to agency mailbox inquiries</li></ul><h3 class="jobSectionHeader"><b>
Quality Assurance Support</b></h3><ul><li>
Support audits of agency Dashboards for accuracy, format, completeness, and usability</li><li>
Assist in validation of titles, footnotes, data sources, and underlying data</li><li>
Help leverage audit results to inform future data quality priorities</li><li>
Contribute to development of data quality standards and best practices</li></ul><br>
<div></div>
Required Qualifications:
<h3 class="jobSectionHeader"><b>Education &amp; Experience</b></h3><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, Business Analytics, or related technical field</li><li>
Minimum 3+ years of relevant data science and analytics experience</li></ul><h3 class="jobSectionHeader"><b>
Technical Skills</b></h3><ul><li>
Proficiency in Python, R, and SQL, with familiarity in statistical and data analytical software including Databricks and Oracle systems</li><li>
Experience with VBA and basic automation tools</li><li>
Ability to produce summary reports using RMarkdown or Jupyter Notebook</li><li>
Experience with data analysis methodologies and statistical techniques such as multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining</li><li>
Experience working with government or enterprise data from various sources</li></ul><h3 class="jobSectionHeader"><b>
Federal Experience</b></h3><ul><li>
Interest in supporting federal law enforcement agencies and understanding of government data requirements</li><li>
Ability to communicate technical concepts clearly to federal government stakeholders and law enforcement personnel</li><li>
Understanding of data security and compliance requirements in government environments</li></ul><h1 class="jobSectionHeader"><b>
Security Requirements</b></h1><ul><li>
Ability to obtain and maintain appropriate federal security clearance.</li><li>
Background investigation required.</li><li>
Must be U.S. citizen.</li></ul>
Preferred Qualifications:
<ul><li>Experience supporting DHS operations or similar law enforcement data systems</li><li>
Experience with federal homeland security or immigration enforcement data initiatives</li><li>
Knowledge of data quality frameworks and best practices in government environments</li><li>
Experience with dashboard development and data visualization for law enforcement operations</li><li>
Familiarity with federal data governance and compliance requirements</li></ul><div><b>
Professional Certifications (Optional):</b></div><ul><li><b>
Advanced Data Science</b>: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP)</li><li><b>
Automation &amp; Integration</b>: UiPath Advanced RPA Developer; Oracle Analytics Cloud certifications</li><li><b>
Machine Learning and AI</b>: Microsoft Azure AI Engineer Associate; AWS Certified Machine Learning; Databricks Machine Learning Professional</li></ul>
Company EEO Statement:<div></div><div><b><br>
Accessibility/Accommodation:</b></div><div>
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.</div><div></div><div><br>
QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</div></div>

Data Scientist II

<div>Company Overview:
<div>
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).</div><div></div><div><br>
QinetiQ US&rsquo;s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.</div><div></div><div><b><br>
Why Join QinetiQ US?</b></div><div></div><div><br>
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.</div>
Position Overview:
<div>
We are looking for a data scientist to join our team at DIA.</div>
Responsibilities:
<div>
Work with complex data sets to solve real world problems. Support the warfighter and policy makers with decision making.</div>
Required Qualifications:
<ul><li>3+ years of experience designing, developing, operationalizing, and maintaining complex data applications</li><li>
3+ years of experience with Python, Java, JavaScript, Rust, or PostgreSQL</li><li>
2+ years of experience developing code for data manipulation, data analysis, or data modeling</li><li>
Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications</li><li>
Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals</li><li>
Experience in the development of algorithms leveraging Python and SQL</li><li>
Experience with developing solutions incorporating Large Language Models</li><li>
Experience with Python data science and visualization packages</li><li>
Experience with leading the development of solutions to complex problems</li><li>
TS/SCI clearance with CI poly qinetiqclearedjob</li><li>
Bachelor&rsquo;s degree or equivalent experience</li></ul>
Preferred Qualifications:
<ul><li>8+ years of experience in Extract, Transform, and Load (ETL) processes</li><li>
2+ years of experience with AI and ML implementation and development</li><li>
Experience with DevSecOps tools, including GitHub</li><li>
Experience working within the Intel Community</li><li>
Experience with database administration or data analytics</li><li>
Experience with structured and unstructured data</li><li>
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud</li><li>
Experience with Streamlit, Tkinter</li><li>
Experience with Agile software development</li></ul>
Company EEO Statement:<div></div><div><b><br>
Accessibility/Accommodation:</b></div><div>
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.</div><div></div><div><br>
QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</div></div>

Data Scientist Mid

DataAnnotation

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level understanding of energy related physics concepts. Other related fields include, but are not limited to: Computer Science, Physics, Biophysics, Nuclear Energy, Gravitational Energy, Chemical Energy, Mathematics.
 <br/>
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 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
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   You&rsquo;ll be able to choose which projects you want to work on
  </li>
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   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots writing and editing tasks and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Strong grasp of energy-related physics concepts
  </li>
  <li>
   A current, in progress, or completed Masters and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
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 #physics
</div>


Energy Research Scientist

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