Data Scientist
Job Location:
Washington, AR - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
In this role you will 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. This work would be performed on-site in Washington DC.
Key Responsibilties:
- Financial Crime Pattern Detection: Designing developing and deploying machine learning models and statistical algorithms to identify complex money laundering techniquessuch as structuring layering and smurfingwithin massive financial datasets.
- Cloud-Native Data Engineering & Analysis: Performing exploratory data analysis feature engineering and model validation using Python PySpark and SQL across scalable AWS infrastructure including S3 RDS and OpenSearch.
- Stakeholder Collaboration & Translation: Partnering directly with compliance analysts and federal investigators to translate complex regulatory requirements into high-impact analytical models and clear visual reports.
- Model Integrity & Workflow Standardization: Building maintainable data pipelines document model logic to agency standards and lead peer code reviews to ensure reproducible high-quality data science practices.
Required Qualifications:
- Active Top Secret SCI clearance
- Bachelors 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.
Preferred Qualifications:
- 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.
Our Culture: What Makes Ascella Employees Great
At Ascella we celebrate innovative thinkers who are empowered to share their ideas and tackle real business challenges. Your creativity will not only be welcomed but also essential in shaping our processes and solutions.
We are passionate about lifelong learning fostering a culture that prioritizes professional development and personal growth. Here youll collaborate with a talented team that supports and inspires each other ensuring that youre continually challenged and encouraged to expand your skills.
Client satisfaction is at the heart of our mission. Our employees are dedicated to providing exceptional service proactively addressing both current and future client needs. Youll be part of a team that values the client experience as a key component of our success.
Open communication is vital to our work environment. We maintain an open door policy encouraging questions and the sharing of ideas. We believe in aligning individual contributions with company objectives fostering transparency and regularly seeking feedback to enhance our processes.
Lastly we are committed to being an inclusive organization. We embrace diversity ensuring that all employees feel valued and respected. Our varied talents and experiences drive creativity and innovation making our workplace dynamic and successful.
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Position: Data Scientist
Location: Washington DC (on-site)
Base Compensation: $160-190K*
Other Compensation: 4% contribution to 401(k) performance bonus profit-sharing
Paid Time Off: 16 days PTO/year 11 holidays/year
Benefits: Medical Dental Vision Life Disability 401(k)and more
Position is open until filled applications accepted on an ongoing basis.
**Note on Compensation: This range represents the good-faith estimate for this position at the time of posting. Final salary offers are based on the candidates specific experience skills and geographic location.
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Equal Employment Opportunity Statement
Ascella Technologies is an Affirmative Action/Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences such as age disability ethnicity gender gender identity and expression religion or sexual orientation. We provide 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. Ascella Technologies is committed to providing veteran employment opportunities to our service men and women.
Required Experience:
IC
