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Stantec Director of Data Science (Digital Solutions) in Waterloo, Ontario

Director of Data Science (Digital Solutions) - ( 220003WJ )

Description

Grow with the best. Join a smart, creative, and inspired team that accomplishes operational excellence. Bringing together individuals with diverse backgrounds, talents, and expertise, our 26,000 team members in over 400 locations worldwide are vital to making our Company stronger.

Your Opportunity

Stantec Digital Solutions is a unique product and services consulting team. We pride ourselves on being customer obsessed and highly focused on Digital Science & Engineering transformation. As a company of 26,000 Scientists & Engineers we have a large internal and growing external customer base consisting of highly technical staff.

This position requires the candidate to have the ability to creatively leverage new and innovative technologies to successfully implement data solutions for our clients. The candidate will work with the data science team, development teams and solution architecture teams locally and globally as part of a growing group of engineering technologists.

Your primary focus will be leading a team of data scientists create value through the development & delivery of data products built by combining industry specific feature engineering combined with Machine Learning (ML) processes. The position calls for using disparate data to develop models that represent physical & natural systems. If you’re eager to apply data science and ML to a diverse array of enterprise Architectural, Environmental and Physical Engineering use cases this is likely the position for you.

This is a customer-facing role, and you will be required to travel to client locations and deliver professional services as needed.

Your Key Responsibilities

  • Assist customers by being able to deliver a data science initiative from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization

  • Use Azure Services (e.g., Synapse, Data Bricks), ML platforms, and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to build, deploy and operate ML models

  • Work with our other Digital Solutions staff (Sales, Strategy, Product Management, Applications Development, Cloud Architecture & MLOps) to prototype and commercialize data driven solutions to Science & Engineering problems.

  • Partner with our Professional Services team to operationalize customers models within their specific workflows.

  • Refine Stantec’s Data Development Operations (SD2O) process including business requirements, user stories & design specifications & data orchestration for the MLOps team to deliver upon & record the system.

Qualifications

Your Capabilities and Credentials

  • Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Preferred Qualifications

  • Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.

  • Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers organization

  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Stantec is committed to a diverse and inclusive workplace.

  • Act as an ambassador for the product internally and externally, and as the primary technical contact for Azure Services related to the product.

  • Experience with Microsoft Azure Cloud Services, Docker and Azure Devops is a plus

  • Experience in an ML engineer or data scientist role building ML models

  • Experience writing code in Python, R, Scala, Java, C with documentation for reproducibility

Education and Experience

  • Experience and/or formal education in math, physics or engineering (for example., civil, environmental, water resources, mechanical.) with a focus on quantitative problem solving through computational tools.

  • Additional education (Masters or PhD) in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience

  • Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory 5 years of industry experience in predictive modeling, data science, and analysis

Typical office environment working with computers and remaining sedentary and looking at a screen for long periods of time. Office environment may also be restricted to the applicant’s home office. Home offices must provide ergonomically suited setups to give the employee proper comfort and posture for extended periods of time.

This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice.

Stantec is a place where the best and brightest come to build on each other’s talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best.

Primary Location : Canada-Alberta-Edmonton

Other Locations : Canada-Alberta-Edmonton, Canada-Alberta-Calgary, Canada-Manitoba-Winnipeg, Canada-Nova Scotia-Dartmouth, Canada-Ontario-Toronto, Canada-Saskatchewan-Regina, Canada-Ontario-Ottawa, Canada, Canada-Ontario-Waterloo, Canada-British Columbia-Vancouver

Organization : BC-1299 Innovation-Digital Solutions-Canada

Employee Status : Regular

Job Level : Manager

Travel : Yes, 10 % of the Time

Schedule : Full-time

Job Posting : Nov 16, 2022, 8:16:44 AM

Req ID: 220003WJ

Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, color, religion, sex, national origin, age, marital status, genetic information, disability, protected veteran status, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with local, state and federal laws and regulations and ensures equitable opportunities in all aspects of employment. EEO including Disability/Protected Veterans

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