Data Scientist

What’s in It for You?

This role offers more than just a job.. it’s a career-enhancing opportunity. You’ll work with state of the art technologies, such as machine learning, computer vision and data analytics, that push boundaries and drive real-time results. Expect both personal and professional satisfaction as your contributions directly influence outcomes.

• Work on Advanced Projects: Immerse yourself in a stimulating technical environment where projects offer a blend of creative and analytical challenges that will refine and expand your skill set.
• Mentorship & Training: With a structured onboarding process, you’ll receive ongoing mentorship and comprehensive training on the latest industry tools and systems, ensuring you’re fully equipped to excel.
• Innovation at the Core: Your fresh ideas will be embraced within a collaborative team that encourages creativity and outside-the-box thinking.
• Work-Life Balance: Enjoy the flexibility of a role with no travel, offering a blend of remote or hybrid work tailored to your lifestyle, without sacrificing the excitement of impactful projects.

Tech Stack & Tools You'll Be Using

• Programming: Python, C, Matlab
• Machine Learning & AI: Develop models and algorithms that enhance data interpretation using cutting-edge techniques.
• Data Analysis Tools: Utilize computer vision, statistical methods, and data analysis to extract valuable insights from large datasets.
• Visualization Tools: Present detailed reports and visualizations that support data-driven decision-making and technical innovation.

Key Responsibilities

• Data Analysis & Reporting: Analyze historical and current performance data, extracting insights for both internal and external reviews, including regular post-event reports.
• Innovative Solution Development: Use machine learning and computer vision to develop advanced techniques that reveal performance trends.
• Collaboration with Stakeholders: Build and maintain relationships with internal teams, technical suppliers, and external stakeholders to ensure project success.
• Research & Development: Lead the development of new data analytics methods and create bespoke tools that drive innovation.

If you’re ready for a role that enhances your expertise and challenges you in new ways, this opportunity is for you and we look forward to hearing from you!