Data Scientist

The Bison Group; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

The Bison Group is seeking a data scientist to help detect financial crime patterns in BSA/AML data. You will build and deploy ML models using Python/R, work with AWS services, and collaborate with compliance analysts to translate requirements into analyses.

Applicants should have 4–5 years of data science experience, a strong background in statistical modeling and machine learning, and hold a Top Secret clearance.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 4–5 years of data science with ML and statistical modeling.
• Experience with Python and R; AWS cloud services (S3, RDS, OpenSearch, Lambda).
• Top Secret clearance and knowledge of BSA/AML data.

Responsibilities

• Design, develop, and deploy ML models to detect financial crime patterns using BSA/AML data.
• Perform EDA, feature engineering, and model validation in Python, PySpark, Pandas, and R.
• Query large datasets with SQL and analyze data in AWS S3, OpenSearch, and PostgreSQL RDS.
• Collaborate with compliance analysts to translate requirements into analyses.
• Produce visualizations and written findings for technical and non-technical stakeholders.
• Maintain data pipelines and model documentation.
• Participate in peer code reviews and establish data science best practices.

Skills

Python

R

AWS

SQL

Statistical modeling

Machine learning

Data visualization

BSA data

Education

Bachelor's degree

Tools

scikit-learn

TensorFlow

PySpark

Pandas

Jupyter Notebook

OpenSearch

AWS S3

PostgreSQL

Job description

Description

Bison Group - Mission First. People Always.

At Bison Group LLC, we're more than a defense contractor - we're a people-focused small business with a strong culture built on trust, respect, and impact. We value every member of the team, foster open communication without the layers of a big corporation, and stand firmly behind our commitment to the veteran community through real, tangible action.

When you join Bison Group, you're not just filling a role - you're stepping into a mission-critical environment where your work directly supports national security objectives. Here, your skills are recognized, your growth is encouraged, and your contributions have a clear purpose.

• 4~5 years of work experience as data scientist with strong knowledge of statistical modeling, machine learning experience using Python and R, hands-on experience with AWS cloud-native services (e.g., S3, RDS, OpenSearch, Lambda), and a working knowledge of Bank Secrecy Act (BSA) data.
  Practitioner should be able to:
• Design, develop, and deploy machine learning models and statistical algorithms to detect financial crime patterns (e.g., structuring, layering, smurfing) using BSA/AML transaction data
• Perform exploratory data analysis, feature engineering, and model validation using Python / Jupyter Notebook, PySpark, Pandas and R.
• Demonstrate experience with SQL for complex querying and analyze large-scale structured and unstructured datasets stored in AWS S3, PostgreSQL RDS, OpenSearch instance.
• Collaborate closely with compliance analysts and investigators to translate regulatory and investigative requirements into data analyses and analytical models
• Produce visualizations and written findings for both technical and non-technical stakeholders, as needed.
• Maintain documentation for data pipelines, model logic, and analytical findings in accordance with agency or organizational standards
• Participate in peer code reviews and contribute to best practices for reproducible data science workflows
  

Requirements

• Experience using open source machine learning frameworks such as scikit-learn and tensor flow to answer business questions using proprietary data
• Experience with statistical analysis and correlating disparate data
• Experience with probabilistic modeling and/or predictive modeling Experience with performing data analysis using scripting languages such as python, R, MATLAB, and Spark
• Experience implementing machine learning processes into production software applications
• Experience using big data tools to answer business questions using proprietary data
• Experience in building property graphs from multiple data sources to perform network analytics
• Analyze large, noisy datasets and identify meaningful patterns that provide actionable results
• Minimum Bachelor's degree in engineering, Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
• Top Secret clearance

The Bison Group, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, genetic information, or protected veteran status and will not be discriminated against on the basis of disability. If you'd like to view a copy of the company's affirmative action plan for protected veterans/individuals with disabilities or our policy statement, please email [e-mail]. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail [e-mail]. This mailbox is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails sent for this purpose will be returned. Emails left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.

Disclaimer: This position offers a wage or salary range based on market data and internal pay policies. This range is a good-faith estimate and may vary depending on qualifications, experience, and other factors. We do not request or use prior compensation history in making employment decisions. Any voluntary disclosure of prior wage information may be considered to support a higher offer but will not be used to justify a lower offer.

The Bison Group offers benefit options including medical, dental, vision, life, disability insurance, and accrued PTO including vacation, sick leave and holidays.

The listed pay range serves as a general guideline rather than a guaranteed salary. Final compensation is determined by a variety of factors including, but not limited to, role-specific responsibilities; candidate qualifications such as education, skills, and mission-aligned experience; market data, business considerations, internal equity, and any applicable legal or bargaining agreements (if any).