Data Scientist

Why do you need to choose between doing important work and having a fulfilling life? At Ardent, we have both. Ardent employees are committed to solving our customers’ most difficult problems—and we are committed to the well-being, personal goals, and professional development of our employee. We are “All In.” We put forth our strongest effort possible to get the mission accomplished and we do it together. We respect the skills and experience you bring to the Ardent team. And we provide a rewarding environment to help you succeed. 

We offer highly competitive benefits, professional development opportunities, and an exceptional culture that embraces flexibility, innovation, collaboration, and career growth. A collective service mindset underpins our work, and a shared camaraderie to serve clients, colleagues and our communities set us apart. Our full commitment to being "All In" for our employees and our clients is not just our approach, it is our standard. If this sounds like the perfect fit for you, choose Ardent and make a difference with us. 

This is an on-site role in Washington, D.C. 

ArdentMC’s Data Science + Analytics Practice helps organizations and communities effectively utilize data to understand their constituents and infrastructure threats better, building more intelligent and resilient systems.

We are seeking a Data Scientist to create AI/ML models and assist with providing data discovery, data analysis, data management, automation, and business intelligence services to a wide variety of clients in the public and commercial sectors.

Responsibilities:

• Provide expertise in data science and analytics methods and approaches to solving various business problems from the public sector and commercial client organizations, especially US federal agencies responsible for national security, homeland security, and public safety.
• Serve as a lead statistician and applied math expert, working in a cross-functional team alongside domain experts, data analysts, business analysts, data engineers, ML engineers, and software developers to create AI/ML products and solutions.
• Serve as lead researcher and investigator (especially if domain knowledge is relevant); develop and test hypotheses while creatively combining data sources to identify valuable metrics for business leaders.
• Help design, build and deploy various AI/ML models and algorithms using data science tools/process/methods to ingest multiple sources of structured and unstructured data to tackle public safety-related problems.
• Perform deep dives and ETL of data sources to combine and transform data from multiple sources and domains to discover novel and actionable insights
• Participate in full data lifecycle: collect, clean, prepare, ETL, analyze/exploit, model, and QC data; find new ways to automate this work.
• Contribute technical input to data standardization and data governance processes and policies
• Continuously scan for and learn about new datasets and data science methodologies that will improve our services for our clients or enhance our technology products.

Experience and Tech Stack:

• S., M.S., or equivalent certification in Statistics, Mathematics, Computer Science, or a highly quantitative field
• 2+ years of experience designing, developing, and deploying advanced analytics, utilizing data science approaches and applications to advance customer technical requirements
• Proficiency in one or more high-level programming languages (e.g., Python, R, Julia)
• Well versed in data mining, statistical modeling, and advanced analytics techniques
• Knowledge of applied machine learning, including natural language processing
• Familiarity with mathematical optimization and Operations Research
• Prior experience supporting defense or intelligence community requirements
• Knowledge of current trends and technologies related to Open Source collection and analysis of publicly-available information
• Experience in database design, storage, and query optimization across a broad range of persistence technologies and data models
• Experience applying software development best practices
• Experience translating customer mission requirements to data-driven analytical products

Due to the nature of the work we support, all candidates in consideration for this role must be U.S. Citizens willing to undergo the government issued background investigation process.

Ardent is an equal opportunity employer. We will not discriminate and will take affirmative action measures to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity or gender expression.