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About the Role

Apply data science and machine learning to analyze complex financial transaction data for a major federal intelligence and law enforcement bureau. Your analytical models will help identify suspicious patterns, supporting efforts to safeguard the financial system from illicit activity and money laundering.

Responsibilities

• Design, develop, and deploy machine learning models and statistical algorithms to identify complex money laundering techniques within massive financial datasets.
• Perform exploratory data analysis, feature engineering, and model validation using Python, PySpark, and SQL across scalable AWS infrastructure.
• Collaborate with compliance analysts and federal investigators to translate regulatory requirements into analytical models and visual reports.
• Build maintainable data pipelines, document model logic to agency standards, and lead peer code reviews to ensure reproducible, high-quality data science practices.

Requirements

• Active Top Secret SCI clearance
• Bachelor’s Degree or higher in a related field from an accredited college or university
• 4+ years of dedicated data science experience building, validating, and deploying machine learning models using Python and/or R.
• Hands-on experience analyzing Bank Secrecy Act (BSA) or Anti-Money Laundering (AML) transaction data to detect illicit financial patterns.
• Hands-on experience executing queries and managing data pipelines within AWS cloud environments (e.g., S3, RDS/PostgreSQL, OpenSearch, Lambda).
• Strong proficiency with SQL and big-data frameworks (e.g., PySpark, Pandas) to analyze large-scale structured and unstructured datasets.
• Experience building intuitive data dashboards and clear visual reports to present findings to non-technical operational teams.
• Demonstrated track record of establishing automated model documentation and reproducible data pipelines in a regulated environment.

Skills

• Python
• PySpark
• SQL
• AWS
• S3
• RDS
• OpenSearch
• Pandas
• R

Location

• Washington, DC

Work Type

• On-site
• Full-time

Experience Level

• 4+ years of dedicated data science experience

Education Level

• Bachelor’s Degree or higher

Salary/Compensations

• $160-190K

Benefits

• 4% contribution to 401(k)
• Performance bonus
• Profit-sharing
• 16 days PTO/year
• 11 holidays/year
• Medical
• Dental
• Vision
• Life
• Disability
• 401(k)

About the Company

• Ascella celebrates innovative thinkers who are empowered to share their ideas and tackle real business challenges.
• Creativity is essential in shaping processes and solutions.
• Fosters a culture that prioritizes professional development and personal growth.
• Collaborate with a talented team that supports and inspires each other.
• Dedicated to providing exceptional service and proactively addressing client needs.
• Values the client experience as a key component of success.
• Maintains an open door policy, encouraging questions and the sharing of ideas.
• Believes in aligning individual contributions with company objectives, fostering transparency, and regularly seeking feedback.
• Committed to being an inclusive organization, embracing diversity, and ensuring all employees feel valued and respected.
• Varied talents and experiences drive creativity and innovation.

Equal Opportunity

• Ascella Technologies is an Affirmative Action/Equal Opportunity Employer.
• No one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
• Provides equal employment opportunities to all qualified candidates without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status or any other characteristic protected by law.
• Committed to providing veteran employment opportunities to our service men and women.