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:
- Bachelors degree in Computer Science Statistics Engineering Mathematics Economics or a related field with 69 years of experience
OR Masters degree with 46 years of experience
OR PhD with 13 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!