Data Engineer

About Scription

Scription is working with iconic industry brands such as McDonald's, Burger King, and Casey's to change the way maintenance and repair is performed on commercial equipment through a subscription maintenance model. We are currently developing data-driven systems which include data collection applications, machine learning, and user-facing applications.

We believe in the value of high-quality software and craftmanship. As such, we strive to offer exceptional and flexible working conditions with most teams requiring only 2 days a week in the office. We are also result-oriented, which means our developers benefit from a high level of autonomy and ownership over their work.

We are looking for candidates who are capable of responding to business challenges using technical skills, who have strong communication skills, and a high learning capacity. Effective decision-making skills and decisiveness are also required given the level of agency you will have in your work.

Feel free to visit our website for more information: https://www.scription.ai/

PLEASE SUBMIT YOUR CV AS PDF

Key Responsibilities

• Analyze large and complex datasets to uncover patterns and insights that drive business decisions.
• Develop and implement predictive models using machine learning algorithms.
• Design and conduct experiments to test hypotheses and validate findings.
• Clean, prepare and warehouse data for further analysis.
• Collaborate with product managers, engineers, business analysts and other stakeholders to identify opportunities for data-driven improvements.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.
• Continuously monitor and refine models and algorithms based on new data and feedback.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field (graduate level preferred).
• Proven experience in data analysis, statistical modeling, and machine learning.
• Demonstrated ability to translate business requirements into data science solutions.
• Proficiency in database modeling, SQL, and data warehousing principles
• Proficiency in developing analysis in Python and experience with relevant ML libraries and frameworks
• Proficiency with building ML/AI pipelines and relevant tools
• Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
• Excellent written and verbal communication skills.

Bonus points if you have:

• Experience with field service concepts
• Experience with Microsoft Azure
• Published research in predictive maintenance

Compensation

• Based on experience, skills, and credentials, you can expect a salary ranging between $120,000 - $160,000 CAD
• Stock options
• Full health and dental benefits
• 3 weeks of paid time off with a flexible time off policy

Location

Scription follows a flexible hybrid work philosophy. You are expected to reside in the Calgary area and should be prepared to come to the office several times a week.

Applying

Our recruitment process consists of the following stages.

• A CV screen during which we will evaluate your credentials and experience to make sure you meet the minimum requirements
• A virtual teams or phone conversation to discuss your credentials and experience, and to give you an opportunity to ask questions about the role and the company
• A 1-to-2-hour in-person technical interview
• An audition-style interview with the team for which you will be asked to prepare a 10-to-15-minute discussion on a relevant technical topic of your choosing to both technical and non-technical members