> Markdown version of [/jobs/ext/3824765-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/3824765-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Scientist

- **Company:** ADAPTIVE SOLUTIONS GROUP
- **Location:** Overland Park, KS, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Network Analysis, Cloud Computing, Data Infrastructure, Relational Databases, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, SQL Databases, Model Validation, Information Technology, Statistics Packages, Data Analytics, Entity Resolution, Marketplace, Software Version Control
- **Published:** October 18, 2026
- **Apply:** https://www.careerjet.com/job/us999f74657120a3ee4d06826833a65734/eaa

## About the Role

* 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.

## Description

* 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.