Data Scientist

New Flyer·Remote(Winnipeg, Winnipeg, Manitoba, Canada)
Data & Analytics

WFA Digital Insight

The demand for skilled data scientists in the transportation sector has been on the rise, with a notable 25% increase in job postings over the last year. As companies like New Flyer continue to innovate and expand their services, the need for professionals who can leverage data to inform business decisions has become paramount. With the integration of AI and machine learning, data scientists are now pivotal in driving growth and efficiency. New Flyer, a leader in heavy-duty transit buses, offers a unique environment where data meets transportation. Before applying, candidates should be prepared to showcase their proficiency in tools like SQL, Power BI, and Python, as well as their experience in machine learning and data analysis.

Job Description

About the Role

The Data Scientist role at New Flyer is a critical position that involves the coordination of business value-added projects, including the design, testing, documentation, training, and implementation of customized business solutions. This role is integral to the company's mission to design and deliver exceptional transportation solutions that are safe, accessible, efficient, and reliable. As a Data Scientist, you will be working closely with various teams to build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support. Your expertise in machine learning and predictive analytics will be crucial in developing models and solutions that meet the requirements of processes associated with the company's ERP and related business systems.

The day-to-day responsibilities of this role will involve working with ERP and IoT data sources to build end-to-end models and integrating them into business processes. You will collaborate with data engineering teams to ensure robust data pipelines and contribute to the development of AI-driven tools and frameworks within the organization. Your ability to evaluate model performance and retrain as needed to adapt to evolving data will be essential. Additionally, you will participate in cross-functional projects involving manufacturing, quality, supply chain, and engineering, ensuring that data insights are used to inform decisions across the organization.

New Flyer is committed to providing a continuous learning environment where professionals can advance their careers. The company values innovation and the application of cutting-edge technologies like AI and machine learning to solve real-world problems. As a Data Scientist at New Flyer, you will be part of a team that is passionate about using data to drive business outcomes and make a meaningful impact in the transportation sector.

What You Will Do

  • Work with various ERP and IoT data sources to build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support.
  • Design and develop machine learning models and predictive analytics solutions using data sourced from Snowflake.
  • Perform data exploration, statistical analysis, and feature engineering to support AI initiatives.
  • Collaborate with data engineering teams to ensure robust data pipelines.
  • Contribute to the development of AI-driven tools and frameworks within the organization.
  • Evaluate model performance and retrain as needed to adapt to evolving data.
  • Participate in cross-functional projects involving manufacturing, quality, supply chain, and engineering.
  • Update training and documentation as required.
  • Deliver user training to operating groups as needed.
  • Engage in ongoing learning and professional development to stay updated with the latest trends and technologies in data science and AI.

What We Are Looking For

  • Post-secondary education in a Business or STEM field, or an equivalent combination of education and relevant work experience.
  • Any combination of training and/or certifications in Data Science, Statistics, and Artificial Intelligence (AI).
  • 2+ years of experience in a data science, AI, or advanced analytics role.
  • Strong proficiency with SQL (preferably in Snowflake), Python, and Power BI.
  • Solid understanding of machine learning algorithms, model evaluation, and AI workflows.
  • Experience building end-to-end models and integrating them into business processes.
  • Deep knowledge of data warehousing concepts and cloud-based data platforms (Snowflake and Fabric preferred).
  • Ability to work collaboratively in a team environment.
  • Excellent communication and problem-solving skills.

Nice to Have

  • Experience with data visualization tools beyond Power BI, such as Tableau or D3.js.
  • Knowledge of agile development methodologies and version control systems like Git.
  • Familiarity with cloud computing platforms, particularly AWS or Azure.
  • Certification in data science or a related field.

Benefits and Perks

  • Competitive wages.
  • Extended health benefits.
  • Paid holidays.
  • Pension plan.
  • A continuous learning environment.
  • Ability to advance your career with a growing company.
  • Ongoing employee development through a variety of in-house training initiatives.
  • Tuition subsidies for courses at outside institutions.
  • Flexible working hours and remote work options.
  • Access to cutting-edge technologies and tools.
  • Opportunity to work on challenging and impactful projects.

How to Stand Out

  • Ensure your resume and cover letter are tailored to highlight your experience with SQL, Python, and Power BI, as well as any certifications in Data Science, Statistics, or AI.
  • Prepare examples of your work in data storytelling and predictive analytics to showcase during the interview process.
  • Familiarize yourself with New Flyer's products and services to understand how your skills can contribute to the company's mission.
  • Be prepared to discuss your approach to ongoing learning and professional development in the field of data science and AI.
  • Consider creating a portfolio that demonstrates your proficiency in machine learning, data analysis, and visualization to share with potential employers.
  • Practice explaining complex data concepts in simple terms to demonstrate your ability to communicate insights effectively to non-technical stakeholders.
  • Research the market rate for data scientists in your area to negotiate a fair salary.

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