AML/Sanctions Data Scientist – Associate

Jobtailor; Washington (District of Columbia); On-site; USD 120,000 - 150,000; Full time

Job summary

Jobtailor in Washington, DC is seeking a data scientist who can leverage SQL and Python to analyze financial crime data, while exploring ML and NLP techniques for project solutions. The role emphasizes client engagement and ethical analytics, with opportunities to advance technical skills within a collaborative team.

Ideal candidates have a solid foundation in data science, experience deploying ML models, and comfort handling structured and unstructured data. Travel up to 60% may be required.

Qualifications

• Bachelor’s degree in a quantitative field and 1 year of data science experience.

Responsibilities

• Utilize analytical techniques to address financial crime issues
• Engage with clients to foster meaningful professional relationships
• Apply SQL and Python for data analysis and problem-solving
• Explore machine learning, NLP, and LLMs in relevant projects
• Contribute to team efforts while enhancing personal technical skills
• Adapt to complex situations and develop strategic insights
• Participate in research to support project objectives
• Uphold professional standards and ethical guidelines

Skills

SQL for data queries

Advanced Python

Machine Learning

NLP

Data Analysis

CI/CD pipelines

Education

Bachelor’s Degree in Computer and Information Science or related field

Tools

Scikit-learn

XGBoost

Hugging Face Transformers

Job description

• Utilize analytical techniques to address financial crime issues
• Engage with clients to foster meaningful professional relationships
• Apply SQL and Python for data analysis and problem-solving
• Explore machine learning, NLP, and LLMs in relevant projects
• Contribute to team efforts while enhancing personal technical skills
• Adapt to complex situations and develop strategic insights
• Participate in research to support project objectives
• Uphold professional standards and ethical guidelines

Requirements

• Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
• 1 year of experience in data science/machine learning
• Interest in financial crime, AML, and fraud analytics
• Skilled in SQL for complex data queries
• Advanced Python skills for data manipulation
• Experience building and deploying machine learning models
• Understanding of machine learning concepts and algorithms
• Comfort working with structured and unstructured data
• Familiarity with agentic AI frameworks
• Hands-on experience with CI/CD pipelines for data science
• Proficiency in SQL and Python
• Basic understanding of machine learning algorithms and evaluation metrics
• Exposure to scikit-learn, XGBoost, and Hugging Face Transformers
• Other quantitative fields of study may be considered
• Ability to travel up to 60%

Core Competencies

Demonstrates expertise in SQL and Python for data analysis, with a strong foundation in machine learning concepts and algorithms. Engages effectively with clients while upholding professional standards in financial crime and fraud analytics.

Highest-signal resume keywords

• SQL Data Querying
• Advanced Python Skills
• Machine Learning Model Deployment
• Financial Crime Analytics
• CI/CD Pipelines for Data Science

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Machine Learning
• NLP
• Data Manipulation
• Statistical Analysis
• Complex Data Queries
• Evaluation Metrics
• Agentic AI Frameworks
• Structured and Unstructured Data Handling
• Building Machine Learning Models

Soft Skills

• Client Engagement
• Analytical Thinking
• Adaptability
• Team Collaboration
• Strategic Insight Development

Industry Keywords

• Financial Crime
• AML
• Fraud Analytics
• Data Science
• Machine Learning Concepts

Tools & Technologies

• Scikit-learn
• XGBoost
• Hugging Face Transformers
• CI/CD Tools
• Data Processing Tools