Sr. Data Scientist

Insight Global; Naperville (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Insight Global is seeking a Senior Data Scientist to transform manufacturing and field-service data into actionable insights for a next-generation Manufacturing platform. The role partners with SMEs, analyzes complex datasets, builds predictive models, and exposes data-driven insights supporting a mobile product experience.

The candidate will develop and deploy ML models using Databricks, analyze large datasets for trends, and collaborate with product and business teams to address operational

Qualifications

• 8+ years of Data Science experience.
• Strong Python development experience.
• Experience with Databricks and 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.

Responsibilities

• 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.

Skills

Data Science

Python

ML techniques

Statistics

Predictive modeling

Communication

Databricks

Snowflake

AI collaboration

Azure ecosystem

Education

Advanced degree in Data Science

Tools

Databricks

Snowflake

Azure

APIs/Endpoints

Job description

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.

Responsibilities

• 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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and 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
• 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