Senior Data Scientist

• Analyze complex business problems related to fraud detection, risk assessment, and operational performance using statistical and analytical techniques.
• Develop and evaluate predictive models, risk scoring methodologies, anomaly detection solutions, and analytical frameworks.
• Analyze customer, transaction, operational, financial, and behavioral data to identify trends, patterns, risks, and opportunities.
• Collaborate with business stakeholders, analytics teams, and technical partners to define success metrics, risk indicators, and model evaluation criteria.
• Translate business challenges into analytical approaches that support decision-making and operational improvements.
• Perform exploratory data analysis and communicate findings through reports, dashboards, presentations, and visualizations.
• Partner with engineering and technical teams to support deployment and operationalization of analytical models.
• Document methodologies, assumptions, data limitations, model performance metrics, and recommendations.
• Develop monitoring approaches to evaluate model effectiveness and identify emerging risk patterns.
• Stay current on advancements in data science, machine learning, fraud detection, predictive analytics, and risk management techniques.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Analytics, or a related quantitative field.
• Experience using SQL and relational database technologies.
• Experience with Python, R, or similar statistical programming languages.
• Experience applying statistical analysis, predictive modeling, machine learning, or advanced analytics techniques to business problems.
• Knowledge of modern data platforms, cloud technologies, or large-scale analytical environments.
• Experience using data visualization and reporting tools.
• Familiarity with source control and collaborative development practices.
• Strong analytical thinking, problem-solving, and quantitative reasoning skills.
• Excellent written, verbal, and presentation communication skills.
• Ability to work effectively with both technical and non-technical stakeholders.

Preferred Qualifications

• Experience in fraud analytics, risk analytics, credit risk, financial services, payments, lending, logistics, supply chain, marketplace platforms, or related industries.
• Experience developing fraud detection, anomaly detection, risk scoring, transaction monitoring, or predictive risk models.
• Experience working with machine learning solutions in production environments.
• Knowledge of graph analytics, network analysis, entity resolution, behavioral analytics, or relationship-based risk detection methodologies.
• Experience working with large-scale transactional, operational, financial, customer, or behavioral datasets.
• Experience partnering with product, operations, compliance, risk, or engineering teams to implement analytical solutions.
• Familiarity with cloud-based analytics platforms and machine learning ecosystems.

• Adaptive Solutions Group offers a competitive compensation and benefits package that includes medical, dental, STD/LTD, life insurance coverage, 401k, paid vacation and holidays.

Adaptive Solutions Group is a premier provider of information technology personnel. We provide a variety of technical professionals available for contract, contract to hire, or direct placement positions to companies in and around the St. Louis and Kansas City areas.