Designs, develops, and deploys machine learning models and scalable data solutions to support advanced analytics and omnichannel marketing initiatives for Klick's clients.
Compensation
The base salary range for this position is between CAD $75,000 - $85,000.
Responsibilities
Design, build, and optimize data architectures, ETL pipelines, and feature engineering workflows using Python and SQL
Develop, train, evaluate, and deploy machine learning models using libraries such as scikit-learn, TensorFlow, or PyTorch
Process and analyze clickstream datasets and other large-scale data sources while maintaining and optimizing enterprise data warehouses and data lakes
Collaborate with data engineers, analysts, project managers, and client stakeholders to gather business requirements and deliver data-driven recommendations
Establish and document reproducible machine learning and data engineering workflows
Requirements
Master's degree or Ph.D. in Data Science, Machine Learning, Computer Science, Statistics, or a related quantitative discipline
Nice to have: AI enthusiasm
Nice to have: healthcare, pharmaceutical, life sciences, media, advertising, or agency environments
Nice to have: Power BI or comparable business intelligence platforms
Manager responsible for architecting and optimizing future field execution by identifying frontline value-creation opportunities and translating field strategy into clear operating models, standards and ways of working.
Locations (4)
Vancouver, British Columbia, Canada
Calgary, Alberta, Canada
Brampton, Ontario, Canada
Montreal, Quebec, Canada
Compensation
The full base salary range for this position is from $108,000.00 - $120,000.00 annually.
Responsibilities
Set direction for future field execution, identify frontline value-creation opportunities and prioritize the transformation roadmap against business and customer priorities
Manager responsible for architecting and optimizing future field execution by identifying frontline value-creation opportunities and translating field strategy into clear operating models, standards and ways of working.
Locations (5)
Vancouver, British Columbia, Canada
Calgary, Alberta, Canada
Brampton, Ontario, Canada
Montreal, Quebec, Canada
Canada
Compensation
The full base salary range for this position is from $108,000.00 - $120,000.00 annually.
A technical leader and domain pioneer leading data science and analytics to drive AI innovation, optimize campaigns, and create significant business impact for eBay.
Locations (2)
Toronto, Ontario, Canada
San Jose, California, United States
Responsibilities
Serve as an inspiring leader and domain lead for data science and analytics, guiding strategic roadmaps powered by eBay's extensive datasets.
Define, build, and track next-generation, AI-enhanced measures to evaluate product performance and lead automated health monitoring.
Architect and deploy predictive models, AI algorithms, and experimental frameworks to unlock high-impact growth opportunities and redefine product strategy.
Develop self-service dashboards and data visualization tools.
Partner with multi-functional teams to prioritize key business challenges and build outstanding AI and analytics solutions that unlock operational efficiencies.
Lead technical relationships with enterprise customers across the Americas, guiding them on stream processing architecture and operational excellence on Ververica Unified Streaming Data Platform.
Compensation
Competitive compensation: salary, equity and performance bonus
Responsibilities
Own the technical relationship with a portfolio of enterprise customers in the Americas, from onboarding through renewal and expansion
Guide customers in designing and optimizing their stream processing architecture on Ververica Unified Streaming Data Platform
Advise on Flink job design, deployment models and monitoring strategy
Troubleshoot and tune pipelines, connectors and clusters, and identify weak spots in customer architectures before they cause incidents
Lead incident triage and root cause analysis for your accounts, and build operational playbooks that help customers run Flink at scale
Senior Applied Scientist role applying Generative AI, Machine Learning, Statistics, and Economics solutions to drive private brands product assortment and strategic business decisions.
Compensation
The base salary range for this position is listed below... CAN, BC, Vancouver - 195,900.00 - 327,200.00 CAD annually
Responsibilities
Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.
Adapt and apply state-of-the-art machine learning solutions to business problems.
Invent novel science solutions, develop prototypes, and deploy production software to solve business problems.
Review and guide science solutions across the team.
Publish and socialize your and the team's research across Amazon and external avenues as appropriate.
Senior Ads Data Engineer responsible for designing, building, and maintaining scalable data infrastructure on Databricks to support Life360’s advertising and analytics needs.
Locations (2)
United States, United States
Canada, Canada
Compensation
For candidates based in the US, the salary range for this position is $129,000 to $192,000 USD. For candidates based out of Canada, the salary range for this position is $149,500 to $177,500 CAD.
Responsibilities
Enhance, extend, and operate existing batch and streaming pipelines and Delta Lake tables on Databricks
Partner with business analysts, ad strategists, and sales team to translate questions into data products
Build and maintain dbt models and tests for curated datasets
Manage Databricks and AWS infrastructure as code with Terraform
Integrate and reconcile data from ad platforms, CRM, partner feeds, and internal systems
Requirements
Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field
Formulate and maintain sales visitation criteria, modeling, and segmentation in collaboration with customer and planning teams
Design and optimize future frontline operating models, execution standards and ways of working for field selling and merchandising
Define business outcomes, frontline requirements, intended behaviours and success measures for transformation initiatives
Lead pilot design and stakeholder alignment, using field feedback and performance insights to optimize the execution model
Requirements
Bachelor’s Degree in Science or Business Admin (or equivalent)
Set direction for future field execution, identify frontline value-creation opportunities and prioritize the transformation roadmap against business and customer priorities
Formulate and maintain sales visitation criteria, modeling, and segmentation in collaboration with customer and planning teams
Design and optimize future frontline operating models, execution standards and ways of working for field selling and merchandising
Define business outcomes, frontline requirements, intended behaviours and success measures for transformation initiatives
Lead pilot design and stakeholder alignment, using field feedback and performance insights to optimize the execution model
Requirements
Bachelor's Degree in Science or Business Admin (or equivalent)
Collaborate with key stakeholders to create, distribute, and track Targeted Sales Initiatives
Manage key business indicators of field performance and selling effectiveness; such as Strike Rate, Route Compliance, and Sales Initiative completion
Ensure business continuity and provide field sales support for our Sales Force Automation (SFA) sales software
Create and implement efficiency drivers and/or selling enablers, with a focus on digital ordering, image recognition, and predictive modeling
Lead or support the development of new projects related to improving business performance or Customer Experience; Including but not limited to Spring Mobile, PowerBI, Salient Dashboards, Execute Sell Hunt, Spark, AI Coaching, and other forward-looking technology
Requirements
Bachelor’s Degree in Science or Business Admin (or equivalent)
Manager, Frontline TransformationCONA Services · Vancouver, Canada+3 more
Sr. Applied Scientist, Amazon Private Brands, Amazon Private Brands Selection GuidanceAmazon · Vancouver, Canada
Senior Data Engineer, Ads Data (AI Native)Life360 · Remote, US+1 more