Senior Data Scientist: AML & Safer Gambling Risk Models

Justjoin; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

ClientA seeks an experienced Data Scientist to own customer risk-scoring models and exploratory analysis for AML and Safer Gambling risk mitigation on a global online platform.

You will analyze behavioral data, build and evaluate models (XGBoost, linear/logistic), and translate insights into practical features for compliance and product teams, communicating methods to non-technical stakeholders.

Required: 5+ years in data science, strong Python/SQL, and clear communication.

Qualifications

• 5+ years in a Data Scientist role.
• Strong Python and SQL skills for data extraction and modeling.
• Experience building and evaluating standard ML models (XGBoost, linear/logistic regression).
• Ability to communicate analytical concepts clearly to non-technical stakeholders.

Responsibilities

• Design, evaluate, and iteratively refine predictive models for AML and Safer Gambling risk indicators.
• Conduct exploratory data analysis and investigations to identify risk patterns.
• Translate risk insights into practical model features for compliance and operations.
• Communicate methodologies and results to non-technical stakeholders.

Skills

Analytical thinking

Communication

Tools

Python

SQL

XGBoost

Linear Regression

Logistic Regression

Job description

ClientA seeks an experienced Data Scientist to own customer risk-scoring models and exploratory analysis for AML and Safer Gambling risk mitigation on a global online platform.

You will analyze behavioral data, build and evaluate models (XGBoost, linear/logistic), and translate insights into practical features for compliance and product teams, communicating methods to non-technical stakeholders.

Required: 5+ years in data science, strong Python/SQL, and clear communication.