Expert principal en science des données – POSTE À DISTANCE

Siemens Mobility; Fredericton; Remote; CAD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company redefining the EV charging market with innovative solutions. As a technical leader, you will architect and develop predictive analytics for electric vehicles, utilizing your expertise in Python and machine learning. This exciting role offers the chance to work remotely while collaborating with a cross-functional agile team. You'll have the opportunity to mentor junior developers and drive improvements based on real-world data. If you are passionate about technology and eager to solve significant challenges in the industry, this position is perfect for you!

Benefits

Flexible work environment

Career advancement opportunities

Profit sharing

Rewarding vacation entitlement

Employee perks and discounts

Diversity and inclusivity focus

Qualifications

• 5+ years of experience in Python development and machine learning.
• Ability to lead analytical projects and mentor junior developers.

Responsibilities

• Architect and deploy predictive analytics solutions for electric vehicles.
• Lead implementation of machine learning models and improve performance.

Skills

Python Development

Machine Learning

Predictive Analytics

Data Analysis

Feature Engineering

CI/CD Processes

Real-time Analytics

Problem-solving

Education

Bachelor's degree in Computer Science or Engineering

Master's degree in Data Science or Analytics

Tools

TensorFlow

Scikit-learn

PySpark

Job description

About Depot360 AI

Siemens Depot360 AI is redefining the EV charging market for private and public fleets, including autonomous driving fleets, transit bus agencies, and municipal and private fleets. We are building the next level of charging as a service, taking complete ownership and control of the charging infrastructure, the scheduling of the vehicles, the cloud platform, and the utility meter – in order to provide the highest availability and resilience in the market. In this way, we will accelerate the adoption of electric-powered fleets by optimizing the delivery of power and making refueling seamless and efficient. By taking control of the utility meter, and optimizing EV charge rate and vehicle process flow, EV CaaS provides the lowest cost of electric fueling possible.

What will you do?

Note - This is a 1 year contract opportunity, on Siemens payroll, with possibility of extension.

• Be a technical leader, mentor, collaborator, and champion of best practices.
• Architect, design, develop, and deploy solutions for predictive analytics and ongoing algorithm improvements.
• Develop real-time analytics based on multiple available data sources.
• Implement solutions using a range of internal and external data sources related to the performance of electric vehicles.
• Lead the implementation of solutions using machine learning, feature engineering, and heuristic algorithms.
• Measure performance of all solutions, and provide ongoing improvements based on real-world data.
• Develop predictive event monitoring and notification based on identified conditions.
• Influence and make decisions on tools and the technology roadmap to meet our analytics and reporting requirements.
• Be a valued member of an autonomous, cross-functional agile team.
• Mentor junior developers to help them improve their coding practices.
• Investigate and resolve system functionality and performance issues.

Location: This is a 100% REMOTE position that can be performed anywhere in Canada.

What will you need to succeed?

• Bachelor’s degree in computer science, engineering, or a related technical field.
• 5+ years of experience with Python development.
• Development expertise with one or more machine learning toolkits, such as TensorFlow or Scikit-learn.
• Experience developing and deploying machine learning models in a production environment.
• Experience in quantitative analysis and performance improvement of machine learning models using real-world ground truth data.
• Previous work that involved multiple data sources requiring analysis, cleansing, and feature engineering.
• Ability to lead and facilitate analytical projects to derive critical business insights and identify future innovation in the industry.
• Experience with CI/CD processes for building and deploying high-quality services.
• Ability to collaborate across multiple development teams to ensure performance, quality, and a positive user experience.
• Strong analytical, planning, problem-solving, and decision-making skills.
• Ability to analyze requirements and define the design and tools necessary to build maintainable solutions.

Preferred Qualifications:

• Master’s degree with specialization in data science, analytics, machine learning, or similar.
• Experience developing solutions with streaming data using PySpark or similar tools.
• Experience with vehicle navigation, including map attributes, routing, and/or traffic.

Why you’ll love working for Siemens!

• Freedom and a healthy work-life balance– Embrace our flexible work environment with flex hours, telecommuting, and digital workspaces.
• Solve the world’s most significant problems – Be part of exciting and innovative projects.
• Engaging, challenging, and fast-evolving, cutting-edge technological environment.
• Opportunities to advance your career and mentorship programs on a local and global scale.
• Competitive total rewards package.
• Profit sharing available.
• Rewarding vacation entitlement with the opportunity to buy and sell your vacation depending on your lifestyle.
• Contribute to our social responsibility initiatives focused on access to education, access to technology, and sustaining communities and make a positive impact on the community.
• Participate in our celebrations, social events, and offsite business events.
• Opportunities to contribute your innovative ideas and get paid for them!
• Employee perks and discounts.
• Diversity and inclusivity focused.

Siemens is proud to be an eight-time award winner of Canada’s Top 100 Employers, Canada’s Greenest Employers 2024, Canada’s Top Employers for Young People 2024, and Greater Toronto's Top Employers 2022.