Data Analyst / Scientist (Junior/Mid-level)

Harper Paige; Washington, Baltimore (District of Columbia, MD); On-site; USD 120,000 - 160,000; Full time

Job summary

Harper Paige is seeking a mid-senior Data Scientist/Architect to support a Federal client in the Washington, DC area. You will join a collaborative team building AI/ML solutions and deliver data management, analytics, and visualization support for the program.

The role emphasizes developing frameworks, automating workflows, and communicating insights through visual analytics while maintaining data governance standards.

Qualifications

• Bachelor's degree required.
• Minimum of 4 years of experience.
• 1+ years of SAS development.
• 2+ years working with object-oriented concepts in Python.
• Experience with SQL, SAS, Python, R, etc.
• Experience with HTML and XML.
• Agile scrum/Kanban experience.
• Ability to obtain a public trust.
• Excellent written and verbal communication skills.

Responsibilities

• Use analytic tools to conduct complex queries.
• Proficiency in SAS and other tools in manipulating very large (1M+ records) datasets and conducting routine surveillance.
• Create methods to extract key points of information from structured and unstructured data.
• Conduct exploratory data analysis, proposing and testing hypotheses to identify and combat fraudulent activity.
• Research and test logic to define meaningful metrics and alerts for fraudulent behavior or warning signs for fraudulent behavior.
• Use data visualization techniques and tools to communicate relationships within disparate data sources.
• Develops code, test, debug documents, and implement visual analytics into web applications.
• Familiarity with data management and data governance principles.
• Use judgement to prioritize goals and objectives between multiple priorities.
• Must be comfortable with ambiguity and willing to follow where the data leads.

Skills

Excellent written and verbal comms

Agile Scrum/Kanban experience

Ability to obtain a public trust

Time management

Education

Bachelor's Degree

Tools

SAS

Python

HTML

XML

SQL

R

Job description

Data Scientist / Architect (Mid - Senior)

Location: Washington, DC

Job Code: 18-0009

# of Openings: 1

Responsibilities

Harper Paige has an upcoming opportunity is for an mid - senior-level Data Analyst/Scientist to support a Federal client in the Washington, DC area. The position will be part of a highly collaborative, multi-disciplinary team focused on developing Artificial Intelligence / Machine Learning (AI / ML) solutions for a very diverse user-base. The candidate will provide provide data management, analytic, and visualization support for the program.

Primarily Responsible For

• Use analytic tools to conduct complex queries
• Demonstrates proficiency in SAS and other tools in manipulating very large (1M+ records) datasets and conducting routine surveillance
• Create methods to extract key points of information from structured and unstructured data
• Conduct exploratory data analysis, proposing and testing hypotheses to identify and combat fraudulent activity
• Research and test logic to define meaningful metrics and alerts for fraudulent behavior or warning signs for fraudulent behavior
• Use data visualization techniques and tools to communicate relationships within disparate data sources
• Develops code, test, debug documents, and implement visual analytics into web applications
• Familiarity with data management and data governance principles
• Use judgement to prioritize goals and objectives between multiple priorities
• Must be comfortable with ambiguity and willing to follow where the data leads

Qualifications

• Bachelors Degree.
• Minimum of 4 years of experience
• 1+ years of SAS development
• Experience in building frameworks and automating complex workflows using Python
• 2+ years working with object-oriented concepts in Python
• Understanding of principles and applications in data management using SQL, SAS, Python, R, etc.
• Experience with HTML and XML
• Agile scrum/Kanban experience, having worked on cross-functional teams.
• Ability to obtain a public trust
• Excellent written and verbal communication skills
• Strong ability to manage time and organize priorities within deadlines.

Harper Paige provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Harper Paige complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.