> Markdown version of [/jobs/ext/3677135-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/3677135-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:** Kforce Inc. - **Location:** Greenwood Village, CO, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Big Data, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Apache Spark, Production Code, Data Analytics, Data Pipelines, Databricks - **Published:** October 10, 2026 - **Apply:** https://www.kforce.com/find-work/search-jobs/#/detail/MTY5Nn5UVlR-MjE5MDkzOFQxfjk5/ ## About the Role * Proficiency in Python for data analysis and model development * Hands-on experience with Apache Spark for large-scale data processing * Experience working within AWS environments * Strong experience working with large, batch-based datasets * Ability to build, evaluate, and iterate on machine learning models * Experience writing production-level code and supporting data pipelines * Strong problem-solving and analytical thinking skills * Ability to balance innovation with working within existing systems and frameworks * Effective communication and collaboration skills * Self-starter comfortable working in a fast-paced, team-oriented environment Preferred Qualifications: * Experience with Scala * Exposure to Databricks or similar platforms * Background in fraud detection, anomaly detection, or risk analytics * Experience working with event-based or user behavior data * Prior experience in telecommunications or similar large-scale environments (not required) ## Description * Develop, test, and iterate on machine learning models focused on fraud detection and anomaly detection * Perform exploratory data analysis (EDA) on large, complex datasets * Build and maintain scalable data pipelines to support model development and deployment * Work with big data technologies to process and analyze high-volume datasets * Collaborate with cross-functional teams to translate business problems into data-driven solutions * Contribute to deploying models into production environments and supporting ongoing performance improvements * Write clean, production-quality code and support testing and validation processes