Our client is a leading global provider of IT solutions and services, known for their customer-centric approach to digital transformation. Their services encompass consulting, technology, and outsourcing, delivering innovative solutions to complex challenges. They have also been honored multiple times as a top employer, including being named a Great Place To Work from 2015 to 2025.

Join a global leader in the heavy equipment and industrial manufacturing sector, known for its long-standing legacy of innovation, quality, and operational excellence. 

As a Data Scientist, you will support high-value analytics initiatives ranging from cross-functional simulations to enterprise-wide programs like the Engineered Value Chain. You will work in a Center of Excellence environment, alongside domain experts and technical professionals, applying cutting-edge methods to unlock business value from data.

Responsibilities:

• Lead and execute low-to-medium complexity analytics initiatives as a technical individual contributor
• Develop and deploy statistical models, business simulations, and data-driven solutions to solve organizational challenges
• Utilize SQL and Snowflake to extract, transform, and load (ETL) data for advanced analysis
• Design dashboards and visualizations in tools like Power BI to communicate insights clearly to stakeholders
• Apply machine learning and statistical techniques such as clustering, time series forecasting, and neural networks
• Collaborate with cross-functional teams to align analytics solutions with business objectives
• Follow Agile methodologies for sprint-based project execution and continuous delivery
• Guide and mentor junior data scientists in the application of data science methods
• Contribute to the development of data governance, cloud architecture, and integration best practices

Requirements:

• Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related field with 6–9 years of experience
  OR Master’s degree with 4–6 years of experience
  OR PhD with 1–3 years of relevant experience in business insights and data visualization
• Strong proficiency in:
  • SQL and Snowflake for data preparation and integration
  • Python, R, or SAS for statistical modeling and analytics
  • Power BI or similar tools for data visualization
  • Advanced analytics techniques such as time series analysis, clustering, and neural networks
• Experience with cloud platforms and modern data architectures
• Familiarity with DevOps tools such as GitLab for version control and deployment
• Solid understanding of data governance, IT operations, and solution integration
• Willingness to work on-site
• Excellent communication skills for presenting complex technical insights to business and technical stakeholders
• Ability to mentor junior team members and contribute to a knowledge-sharing culture
• Creative and critical thinking to develop innovative, scalable analytics solutions

Ready to turn data into solutions that power real-world impact across the globe? Join us and be the force behind the innovation that builds a better future — apply now!