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DATA SCIENTIST

We are looking for a passionate data scientist to join our team and help us drive innovation in secure automated bicycle parking systems. If you are excited about leveraging data to create smarter and more secure parking solutions, we would love to hear from you.

LOCATION

San Francisco

EMPLOYMENT TYPE

Permanent

What You'll Do

    As a data scientist at MAZDIS, you will be responsible for analyzing and interpreting complex data sets to inform the development of advanced parking systems. Your work will involve creating predictive models, optimizing parking algorithms, and identifying patterns to enhance security measures.
    You will collaborate with our engineering team to integrate data-driven insights into our automated bicycle parking solutions, ensuring that they meet the highest standards of security and efficiency.

Who You are

    We are seeking a data scientist who is proficient in statistical analysis, machine learning, and data visualization. The ideal candidate has a strong background in engineering and a passion for developing innovative solutions that prioritize security and automation.
    If you are a creative problem-solver with a deep understanding of data science principles, and you are eager to contribute to the future of urban mobility, we encourage you to apply.

Tel: +1 (604) 506-2400

104-32615 S Fraser Way, Abbotsford, BC V2T 1X8, Canada

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106-460 Doyle Ave, Kelowna V1Y 0C2, Canada

 

Warehouse (Limited Access): Surrey, BC V3S 3X1, Canada

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