Sr. Data Scientist

Insight Global
Naperville, IL, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$112,320.0 - $141,440.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Microsoft Azure Big Data Python (Programming Language) Machine Learning Snowflake Information Technology Machine Learning Operations Databricks

Job description

We areeking a Senior Data Scientist to help transform manufacturing and field-service data into actionable business insights for a next-generation Manufacturing platform. This individual will partner closely with SMEs, analyze complex datasets, build predictive models, and expose data-driven insights that support a mobile-based product experience., * Develop and deploy machine learning models using Databricks

  • Analyze large datasets to identify trends, patterns, and optimization opportunities
  • Collaborate with product and business stakeholders to understand operational challenges
  • Build statistical and predictive models that drive decision-making
  • Translate business problems into data science solutions
  • Support model deployment through scalable APIs/endpoints
  • Partner with AI Engineers and application developers to operationalize models

Requirements

  • 8+ years of Data Science experience
  • Strong Python development experience
  • Experience with Databricks
  • Experience with Snowflake
  • Deep understanding of Machine Learning techniques
  • Strong background in Statistics and Mathematics
  • Experience designing and developing predictive models Ability to communicate complex findings to business users

Nice to Have Skills & Experience

  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Experience supporting manufacturing or industrial data environments
  • Experience deploying models as APIs/endpoints
  • Knowledge of Azure ecosystem Experience collaborating with AI/ML engineering teams

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.insightglobal.com

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