Senior Data Scientist
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Role details
Tech stack
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Job description
A client of Insight Global is seeking a senior-level Data Scientist with deep expertise in Python-based analytics, machine learning, and large-scale data systems to design, develop, and productionize end-to-end machine learning solutions. This role is responsible for translating complex business problems into scalable analytics use cases; building, testing, and deploying advanced ML models; developing model scoring code; working with large batch and streaming datasets; partnering with data engineering, platform, and DevOps teams to integrate solutions via CI/CD pipelines; contributing to data architecture decisions involving data warehouses and marts; applying strong logical, mathematical, and analytical reasoning to model evaluation and data quality; synthesizing results into clear insights; communicating recommendations to technical and non-technical stakeholders; mentoring others; and continuously expanding technical skills in evolving analytics and ML technologies.
Requirements
Expert-level Python for advanced analytics and ML (NumPy, Pandas, scikit-learn, etc.)
Strong understanding of ML model families (regression, decision trees and ensemble methods, clustering, SVMs, neural networks)
Strong foundation in probability, statistics, calculus, and ability to learn additional advanced math concepts
Big data experience (Spark, Hadoop, streaming platforms)
Strong SQL
Experience with ETL / data pipelines
Cloud experience (AWS preferred; GCP/Azure acceptable)
CI/CD pipeline experience
Proven experience deploying and supporting models in production
Bash / Shell scripting Scala (especially with Spark)
Streaming data platforms
Enterprise or regulated-environment experience
Benefits & conditions
This position will be a hybrid role- 3 days a week onsite in Greenwood Village CO and will pay between $50-65 per hour.
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