Data Scientist – Python, SQL & Kubernetes

Job Title: Data Scientist – Python, SQL & KubernetesLocation: Remote (California, Oregon, or Washington)Job Type: Contract-to-HireWork Arrangement: RemoteJob OverviewWe are looking for a skilled Data Scientist with hands-on experience developing, deploying, and supporting data science and analytical solutions. The ideal candidate will have strong programming skills in Python and/or R, advanced SQL expertise, and practical experience working with Linux, Docker, and Kubernetes environments.This role involves collaborating with researchers, statisticians, and analytical teams to translate complex research requirements into scalable technical solutions. The successful candidate will contribute to proof-of-concept initiatives, support distributed computing workloads, and develop reusable tools and platform capabilities.Key ResponsibilitiesDevelop, deploy, and maintain data science and analytical solutions using advanced statistical techniques, large-scale data processing, and distributed computing.Use Python and/or R to build analytical workflows, process complex datasets, and support research-driven initiatives.Write and optimize SQL queries for data extraction, transformation, joins, aggregations, and analytical reporting.Deploy, manage, and troubleshoot data science workloads in on-premises or self-managed Kubernetes environments.Support Kubernetes cluster operations and manage storage configurations, including Persistent Volumes (PV) and Persistent Volume Claims (PVC).Build and maintain Docker images and support containerized applications and distributed analytical workloads in Linux environments.Partner with researchers, statisticians, and analysts to understand technical requirements and translate them into practical solutions.Develop proof-of-concept (POC) solutions to evaluate new approaches and address complex analytical challenges.Build reusable tools, utilities, and platform capabilities that improve the efficiency, scalability, and reliability of data science workflows.Troubleshoot technical issues across data processing, containerization, and distributed computing environments.Required QualificationsBachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. A Master's degree or PhD is preferred.3–5+ years of relevant professional experience in data science, analytics, or a related technical discipline.Strong hands-on experience developing, deploying, and supporting analytical or data science solutions.Knowledge of advanced statistical analysis, large-scale data wrangling, and distributed computing.Proficiency in Python and/or R, along with advanced SQL skills.Hands-on experience with on-premises or self-managed Kubernetes environments is critical, including cluster management, troubleshooting, and PV/PVC storage concepts.Strong Linux experience and practical knowledge of Docker, container image creation, and containerized workloads.Experience collaborating with researchers, statisticians, or analysts to develop technical solutions, proof-of-concepts, and reusable tools.Strong analytical thinking, problem-solving, communication, and collaboration skills.Additional InformationThis is a contract-to-hire opportunity.Candidates must be authorized to work without current or future employer visa sponsorship.Candidates located in California, Oregon, or Washington are eligible for the remote contract arrangement.Candidates should be open to relocating to California if converted to a permanent position.