The Role
Analyze complex data using qualitative and quantitative methods across business analytics, statistics, data validation, and visualization. Build Tableau visualizations, prepare and combine data from diverse sources using Python, Tableau Prep Builder, SQL, and Excel, and translate customer requirements into system specifications. Document processes, demonstrate solutions to technical and non-technical audiences, and decompose ambiguous problems into actionable plans.
Summary Generated by Built In
REQUIRED: Active TS/SCI with Full Scope Polygraph
LOCATION: Full-time, onsite in Chantilly, VA
We are seeking a highly capable Data Scientist who excels at turning complex data into clear, actionable insight. The ideal candidate brings experience in two or more core disciplines—business analytics, statistics, data verification and validation, or data visualization—and applies both qualitative and quantitative methods to real‑world business analytics problems. This role requires proficiency in Tableau, Tableau Prep Builder, Python, SQL, and Excel, along with the ability to transform, manipulate, and combine data from diverse sources and structures.
LOCATION: Full-time, onsite in Chantilly, VA
We are seeking a highly capable Data Scientist who excels at turning complex data into clear, actionable insight. The ideal candidate brings experience in two or more core disciplines—business analytics, statistics, data verification and validation, or data visualization—and applies both qualitative and quantitative methods to real‑world business analytics problems. This role requires proficiency in Tableau, Tableau Prep Builder, Python, SQL, and Excel, along with the ability to transform, manipulate, and combine data from diverse sources and structures.
Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Passionate Integrity, Driven by Excellence
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Join us and let's shape the future together!
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Join us and let's shape the future together!
Key Responsibilities
In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:
- Working within two or more of the following disciplines:
- a. Business analytics
- b. Statistics
- c. Data verification and validation
- d. Data visualization
- Applying qualitative and quantitative data analysis methods to business analytics problems.
- Creating data visualization mockups, prototypes of visualizations, documenting work processes and effectively demonstrating products to technical and non-technical audiences.
- Interpreting data models and working with a variety of data sources and structures.
- Translating customer requirements into project or system specifications.
- Using Tableau.
- Transforming, manipulating, and combining data using a programming language, such as Python.
- Using a data preparation tool, such as Tableau Prep Builder.
- Using Excel and SQL.
- Strong interpersonal and communication skills.
- Self-starter with the ability to decompose ambiguous problems into actionable plans.
Highly Desired Qualifications
Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:
- Working with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
- Using visualization tools, such as Jupyter, Visio, SharePoint, or Confluence.
- Working with APIs.
- Using GitHub, or similar version control systems.
- Using Python or R.
- Bachelor’s degree in Business Analytics, Statistics, Data Analytics, Computer Science, or Information Systems or 4 years of relevant data analysis experience within the IC or military.
What We Offer You
- Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
- Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
- Dedicated Training Budget: Supporting continuous learning and professional development.
- 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
- 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
- 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
- 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
- Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.
SCHEDULE:
This is a full-time position with consultants expected to be available and working onsite in Chantilly, VA during core hours.
Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!
About
At Ardent Principles, we're more than just a technology company - we're a team of innovators, problem-solvers, and collaborators dedicated to pushing the boundaries of what's possible. Our mission is to empower organizations with transformative IT solutions and program management services, while our values of integrity, excellence, and teamwork guide everything we do. We foster a culture of open communication, where every voice is heard, and every idea is valued. Join us and be part of a company where your contributions truly make a difference.
Skills Required
- Active TS/SCI with Full Scope Polygraph
- Experience in at least two disciplines: business analytics, statistics, data verification and validation, or data visualization
- Experience applying qualitative and quantitative data analysis methods to business analytics problems
- Experience creating data visualization mockups and prototypes
- Experience documenting work processes and demonstrating products to technical and non-technical audiences
- Experience interpreting data models and working with varied data sources and structures
- Experience translating customer requirements into project or system specifications
- Proficiency using Tableau
- Experience transforming, manipulating, and combining data using Python or another programming language
- Experience using Tableau Prep Builder or another data preparation tool
- Experience using Excel and SQL
- Strong interpersonal and communication skills
- Ability to work independently and decompose ambiguous problems into actionable plans
- Experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination
- Experience with Jupyter, Visio, SharePoint, or Confluence
- Experience working with APIs
- Experience using GitHub or similar version control systems
- Proficiency in Python or R
- Bachelor's degree in Business Analytics, Statistics, Data Analytics, Computer Science, or Information Systems, or four years of relevant data analysis experience within the intelligence community or military
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The Company
What We Do
Ardent Principles, Inc. is a people-focused IT and management consulting firm for commercial and government clients, specializing in IT services and program management, and offering advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, and staff augmentation.
