Senior Data Scientist

Insight Global
Greenwood Village, CO, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$104,000.0 - $135,200.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Data Analysis Artificial Neural Networks Microsoft Azure Bash Shell Big Data Cloud Computing Cluster Analysis Continuous Integration Data Architecture Information Engineering Extract Transform Load (ETL)
+14 more
Data Warehousing DevOps Apache Hadoop Python (Programming Language) Machine Learning NumPy Standard Sql Data Streaming Scripting Apache Spark Model Validation Pandas Scikit Learn Data Pipelines

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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