Senior Data Scientist

Department: Data Analysis and Technology Services

Employment Type: Full Time

Location: McLean, VA

Compensation: $130,000 - $260,000 / year

Description

Are you ready to analyze and interpret complex data to drive business decisions? Ardent Principles is looking for a full-time Senior Data Scientist to join our data analytics team.

If you're passionate about data science, thrive on uncovering insights, and are ready to make a significant impact, this is the opportunity you've been waiting for. With a competitive salary between $130,000 and $260,000 and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!
Who We Are:

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.

Key Responsibilities

In this challenging yet rewarding role, you're an integral part of what brings our company's mission to life. You are primarily responsible for: 

• Creating and applying machine learning capabilities to enrich data.   
• Determining appropriate approaches to analyze data sets (including statistical analysis). 
• Maintaining existing ML tools (e.g., v19 auto-tagging, citation analysis).
• Developing and expanding ML data science tools, such as NIPF v20, future auto-tagging, unsupervised clustering capability.
• Developing and deploying ML tools to evaluate analytic tradecraft conformance or other text-based standards, such as confidence and probability.
• Maintaining code and model documentation sufficient to support design and code reviews; enabling efficient deployment of code into operational systems; and addressing/diagnosing issues stemming from code and model outputs. 
• Developing forecasting and modeling tools that offer diagnostic and predictive insight regarding IC mission performance and connection to other inputs and variables (e.g. resources, priorities). 

REQUIRED skills: 

• Bachelor’s degree in a relevant field (Computer Science, Economics, Mathematics, Statistics, Computer Engineering, Electrical Engineering, Bioinformatics) or equivalent relevant experience. 
• 5+ years of data science experience and/or training in data science. 
• Extensive demonstrated skills and experience with developing and tuning AI/ML algorithms and implementing testing/validation approaches appropriate to available data and validation targets. 
• Advanced experience using Python and appropriate libraries/extensions (e.g., PyTorch, Cuda, SciKit-Learn) to code and test AI/ML algorithms. 
• Demonstrated experience in written and verbal communication on complex analytic methods and/or technologies to technical and non-technical audiences. 
• Extensive experience with natural language processing tools and techniques. 
• Advanced understanding of descriptive statistics, regression, and data labeling/classification models. 

Highly Desired Qualifications

Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:

• Advanced skills in data extraction, parsing, manipulation, and storage; quantitative and qualitative analyses based on the large volume of data from various IC databases 
• Demonstrated experience leading technical teams in a management or subject matter expert advisory capability.
• Extensive experience conducting data extraction, parsing, manipulation, and analysis of large volumes of data from various IC databases. 
• Experience with data engineering techniques, especially for cloud-based data infrastructure and data lake environments. 
• Extensive experience developing custom scripts, queries, or visualizations to support analysis of IC data. 
• Experience with cloud-based tools and services for ML algorithm development on multiple platforms (e.g., AWS Sagemaker, Microsoft Azure ML, Google BigQuery). 

 

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 d