Data Scientist (Senior)

at  Ardent Eagle Solutions

About Us:
Are you ready to join an exceptional team that’s rewriting the future of national security and global impact? Welcome to Ardent Eagle Solutions (AES), a dynamic and rapidly expanding small business that’s at the forefront of supporting the Federal Government, Department of Defense (DoD), and Intelligence Community (IC) on a global scale.
At AES, we don’t just embrace change; we drive it. We’re in the business of transforming challenges into opportunities, and ordinary careers into extraordinary journeys. As part of our team, you’ll be at the heart of groundbreaking missions that shape the course of history and protect our nation’s most critical interests.
Our commitment to success doesn’t end with our customers; it begins with you. We’re dedicated to nurturing the talents of our remarkable employees and propelling them to new heights of excellence. Here, you’ll find a culture that empowers you to excel, innovate, and realize your full potential.
Overview:
To provide operational and technical support for OAAM to successfully effectuate its mission and ensure timely delivery of information and products to DOJ leadership and Congressional and other governmental inquiries. This effort includes performing tasks that support OAAM to fully leverage data as a strategic asset by supporting strong data governance, data analysis standards, and implementing data innovations that drive more value to the agency in its administration and oversight of federal financial assistance programs.
Background:
The Department of Justice (DOJ) has three grant-making components, the Office of Justice Programs (OJP), the Office of Community Oriented Policing Services (COPS), and the Office on Violence Against Women (OVW). Together, they provide federal leadership in developing the nation’s capacity to prevent and control crime, improve the criminal and juvenile systems, increase knowledge about crime and related issues, and assist crime victims. In total, OJP, the COPS Office, and OVW administer more than 16,000 open and active grants representing more than $18 billion, to state and local communities, and tribal governments and organizations. This document describes a services request by OJP’s Office of Audit, Assessment, and Management (OAAM).
OJP consists of six programmatic bureaus and offices: the Bureau of Justice Assistance; the Bureau of Justice Statistics; the National Institute of Justice; the Office of Juvenile Justice and Delinquency Prevention; the Office for Victims of Crime; and the Office of Sex Offender Sentencing, Monitoring, Apprehending, Registering, and Tracking.
Through the programs developed and funded by its bureaus and offices, OJP works to form partnerships among federal, state, and local government officials to advance public safety, prevent gun violence, and increase community trust; accelerate justice system reforms that promote community safety and well-being, equity, and justice for all; transform the juvenile justice system into one that is effective and equitable, treats children as children, and empowers youth to lead healthy, productive lives free from crime and violence; ensure rights, access to services and resources, and equity for all victims of crime; and advance science and innovation to guide policy and practice.
OJP also has several business offices that support its work, one of which is OAAM. OAAM is comprised of four divisions: the Audit and Review Division (ARD), the Enterprise Risk Management and Analysis Division (ERMA), the Grants Management and Policy Division (GMPD), and the Program Assessment Division (PAD). OAAM works to continuously improve the efficiency and effectiveness of justice programs and operations by ensuring oversight and review of critical federal financial assistance administration.

AND

• Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
  Clearance: Public Trust Education:
  Master’s degree in Computer Science, Information Technology, or a related discipline.
  OR
  Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
  Benefits and EEO:

At Ardent Eagle Solutions, we offer a comprehensive benefits package to our employees and their families:

• Medical/Dental/Vision Coverage
• Matching 401(k) Plan
• Continuing Education Assistance
• Paid Time Off

This job description is intended to describe the general scope of work and level of work that is needed to perform while on task with Ardent Eagle Solutions. Other duties may be assigned. Selected candidates may undergo a government security investigation and must fulfill eligibility criteria for accessing classified information. US citizenship may be a prerequisite for certain roles.

Qualifications:

• The Data Scientist shall have experience serving as a data scientist on a complex technology implementation or data analytics projects.
• Ability to lead larger teams and mentor other scientists.
• The Data Scientist shall have strong expertise in applying pattern-recognition techniques to large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling (extract, transform, clean, evaluate, normalize/standardize, and organize) from disparate sources.
• Technical expertise with data models, data mining, data cleansing, and segmentation techniques.
• Experience developing databases with Structure Query Language (SQL) to develop complex queries involving joins, subqueries, aggregation, indices, common table expressions, and query optimization/plans. Development experience, with a focus on data manipulation and/or statistics, using one or more of these languages or applications: Python, R, SAS, Tableau, AWS.
• The Data Scientist shall have proficient experience in both small and big data environments with an understanding of the tradeoffs in scaling algorithms between differing environments.
• Conducts and facilitates (and educates and trains on) analyses, issues identification, risk assessment, and decision-making processes.
• The Data Scientist is expected to design, develop, and implement best available models and solutions to agency challenges and requirements.
• Must be detail-oriented and think logically.
• Possesses excellent problem solving and analytical skills and excellent written, verbal, and listening communication skills.
• Possesses the ability to keep up with new business and technical concepts. Able to work with minimal supervision. Possesses strong team leadership and risk management ability

• Serves as a central source for grants management policy and procedures and serves as the business lead for the OJP JustGrants grants management system.
• Conducts program assessments of the OJP and COPS grant programs, and program assessments for OVW grant programs via reimbursable agreement.
• Coordinates OJP’s Enterprise Risk Management and Analysis Program and oversight of OJP’s grants monitoring activities, including managing the Pre- and Post-Award Risk assessment processes.
• Serves as OJP’s primary point of contact with the DOJ/Office of Inspector General (OIG) and contract auditors, to support and respond to requests and issues pertaining to the annual Financial Statement Audits of OJP, and other financial-related audits of the agency.
• Provides audit resolution services for DOJ grantees that receive awards from OJP, COPS, and OVW.
• Reviews and evaluates OJP’s internal controls through the annual A-123 review and various internal audits, and recommends improvements to strengthen controls, as needed; and
• Manages the DOJ’s High-Risk Grantee Designation Program.
  Responsibilities:
  Prepares data, implements data models, and develops data management tools including databases to support end-to-end solutions. The individual is expected to have working knowledge of federal grant-making policies, procedures, and administration.

Qualifications:

• The Data Scientist shall have experience serving as a data scientist on a complex technology implementation or data analytics projects.
• Ability to lead larger teams and mentor other scientists.
• The Data Scientist shall have strong expertise in applying pattern-recognition techniques to large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling (extract, transform, clean, evaluate, normalize/standardize, and organize) from disparate sources.
• Technical expertise with data models, data mining, data cleansing, and segmentation techniques.
• Experience developing databases with Structure Query Language (SQL) to develop complex queries involving joins, subqueries, aggregation, indices, common table expressions, and query optimization/plans. Development experience, with a focus on data manipulation and/or statistics, using one or more of these languages or applications: Python, R, SAS, Tableau, AWS.
• The Data Scientist shall have proficient experience in both small and big data environments with an understanding of the tradeoffs in scaling algorithms between differing environments.
• Conducts and facilitates (and educates and trains on) analyses, issues identification, risk assessment, and decision-making processes.
• The Data Scientist is expected to design, develop, and implement best available models and solutions to agency challenges and requirements.
• Must be detail-oriented and think logically.
• Possesses excellent problem solving and analytical skills and excellent written, verbal, and listening communication skills.
• Possesses the ability to keep up with new business and technical concepts. Able to work with minimal supervision. Possesses strong team leadership and risk management ability.