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Advanced Technology Search Group Logo Advanced Technology Search Group · IT - Software Development

Senior Data Scientist

United States, Lincolnshire Employment contract 145000.00 - 150000.00 USD / Year · Job Posted July 14, 2026
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Job Description

Design, develop, and deploy machine learning models for predictive analytics, classification, regression, clustering, and forecasting applications. Build scalable machine learning pipelines using Python, PySpark, and cloud-based technologies. Perform feature engineering, model evaluation, and optimization using structured and unstructured data. Develop production-ready AI and machine learning solutions that integrate with enterprise software platforms. Partner with Product Management, Engineering, and business stakeholders to translate business challenges into data-driven solutions. Analyze large datasets to identify trends, patterns, and opportunities that improve operational performance and customer outcomes. Develop dashboards, visualizations, and analytical tools that communicate insights to technical and non-technical audiences. Evaluate emerging machine learning and AI technologies and recommend improvements to existing solutions. Support production model monitoring, performance measurement, and continuous model improvement. Mentor junior team members and contribute to a collaborative, innovation-driven environment.

Job Responsibility

  • Design, develop, and deploy machine learning models for predictive analytics, classification, regression, clustering, and forecasting applications
  • Build scalable machine learning pipelines using Python, PySpark, and cloud-based technologies
  • Perform feature engineering, model evaluation, and optimization using structured and unstructured data
  • Develop production-ready AI and machine learning solutions that integrate with enterprise software platforms
  • Partner with Product Management, Engineering, and business stakeholders to translate business challenges into data-driven solutions
  • Analyze large datasets to identify trends, patterns, and opportunities that improve operational performance and customer outcomes
  • Develop dashboards, visualizations, and analytical tools that communicate insights to technical and non-technical audiences
  • Evaluate emerging machine learning and AI technologies and recommend improvements to existing solutions
  • Support production model monitoring, performance measurement, and continuous model improvement
  • Mentor junior team members and contribute to a collaborative, innovation-driven environment

Requirements

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline
  • 5+ years of professional experience developing machine learning solutions in production environments
  • Strong experience with Python and PySpark
  • Hands-on experience with Azure Databricks or similar large-scale distributed data processing platforms
  • Experience building and deploying end-to-end machine learning solutions
  • Strong understanding of statistical modelling, regression, classification, clustering, and predictive analytics
  • Experience with time-series forecasting is highly desirable
  • Familiarity with TensorFlow, scikit-learn, MLflow, Spark MLlib, or similar machine learning frameworks
  • Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform
  • Strong SQL and data engineering skills
  • Excellent communication skills with the ability to explain technical concepts to business stakeholders

Nice to have

  • Experience with Natural Language Processing (NLP) or Generative AI
  • Experience supporting production MLOps environments, CI/CD, and model monitoring
  • Background working with large-scale enterprise or IoT datasets
  • Experience collaborating across Engineering, Product Management, and Analytics teams

What we offer

  • Competitive compensation, annual bonus, and comprehensive benefits
  • Hybrid work environment with opportunities for continued professional growth
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