Stantec Senior Data Scientist, Digital Solutions in Canada
Senior Data Scientist, Digital Solutions - ( 210002XK )
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 22,000 team members in over 350 locations worldwide are vital to making our Company stronger.
Stantec Digital Solutions is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on Digital Engineering transformation. We apply predictive technology to large volumes of data to solve a wide spectrum of problems. Stantec Digital Solutions works together with internal & external customers to address their business needs with Artificial Intelligence (AI) solutions.
If you have experience with AI, including building Machine Learning (ML) models, combined with a traditional Architecture, Engineering and Construction (AEC) background, we’d like you to join our team. You will work with a global innovation organization and have a lot of fun helping our customers. The successful candidate will enjoy diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.
The Digital Solutions Data Scientist will help derive business value through the adoption of AI and ML. The position involves using massive amounts of disparate data to develop ML models that represent physical and natural systems. This is the position for you if you’re eager to apply ML to a diverse array of enterprise Architectural, Environmental, Engineering, and Physical Sciences use cases.
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 delivering ML projects from beginning to end, including understanding the business need, aggregating data, exploring data, building and 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 help our customers build ML models
Research and implement novel ML approaches, including hardware optimizations on platforms
Work with our other Digital Solutions Intrapreneurs (Applications Development, IoT, Digital Twin, AEC Engineering) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers models after they are prototyped
Refine and record Stantec’s Data Development Operations (SD2O) process including business requirements, user stories & design specifications & data orchestration for the Data Science & Development teams to deliver upon.
Your Capabilities and Credentials
Experience with ML fields such as natural language processing, computer vision, statistical learning theory
- 4 years of industry experience in predictive modeling, data science, and analysis
Experience in an ML engineer or data scientist role building ML models
Experience writing code in Python, R, Scala, Java, C and creating documentation for reproducibility
Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models
Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
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 successfully navigating ambiguity, prioritizing needs, and delivering results in a dynamic environment
Education and Experience
Traditional Engineering background and/or education in a relevant discipline such as Civil, Environmental, Water Resource, or Mechanical.
Post graduate education in a highly quantitative field such as Computer Science, Machine Learning, Operational Research, Statistics, or Mathematics or equivalent professional or military experience
Typical office or home office environment working with computers and remaining sedentary for long periods of time. Travel is required as described above.
This description is not a comprehensive list of activities, duties or responsibilities that may be required of the employee and 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-Calgary
Other Locations : Canada
Job : Data Scientist
Organization : BC-1299 Innovation-Digital Solutions-Canada
Employee Status : Regular
Job Level : Individual Contributor
Travel : No
Schedule : Full-time
Job Posting : Nov 19, 2021, 11:44:10 AM
Req ID: 210002XK
Vaccine Policy: Beginning December 8, 2021, Stantec requires North America employees in many positions to be fully vaccinated against COVID-19 except those for whom a reasonable accommodation has been granted because a medical reason or a sincerely held religious belief, as required by law.
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