Role Overview
Partner with cross-functional teams to understand business goals and translate them into data-driven solutions. Develop statistical and machine learning models that support decision-making across the business.
What You Will Do
Perform exploratory data analysis (EDA) to uncover trends, correlations, and insights that inform technical and business decisions. Collaborate on data preparation, wrangling, and transformation to ensure the accuracy and integrity of model inputs and outputs.
Why It Might Be a Fit
Establish best practices for modeling, validation, and presenting analytical findings to a diverse audience. Be 100% dedicated to one project at a time so that you can innovate and grow.
Requirements
- 5+ years of experience in a Data Scientist or similar role, with hands-on experience building statistical or machine learning models.
- Strong background in statistics and quantitative analysis — e.g., regression, classification, clustering, or segmentation.
- Experience with statistical model development and deployment is required.
- Hands-on experience with SQL for data extraction and manipulation, and Python (e.g., scikit-learn, statsmodels, pandas) for modeling.
- Familiarity with data storytelling and the ability to present findings to both technical and non-technical audiences.
- Experience with sensor/telemetry/IoT data is a plus, particularly in motorsport, high-performance car tuning.
Benefits
- Flexible working hours in a remote environment.
- Health insurance (medical and dental) for T4 Employees.
- A professional development fund to enhance your skills and knowledge.
- 15 days of paid time off annually.
- Access to soft-skill development courses to further your career.
To apply for this job please visit linkedin.com.

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