Data Science Engineer (GCP)

Stacktics Inc.; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading technology firm in Toronto is seeking a Data Science Engineer with experience in GCP to design and deploy machine learning models. The ideal candidate will have a strong background in statistical analysis and data visualization, proficient in Python and SQL. You will work closely with stakeholders, providing insights and enhancing business decision processes. This position offers a flexible remote working policy and a comprehensive benefits package.

Benefits

Flexible Remote Working Policy

100% employer-paid benefits package

Regular Lunch and Learns

Standing desks

Fully-loaded kitchen

Awesome Employee Events and Activities

Participation in Community Engagement

Qualifications

• Bachelor's degree in a relevant quantitative field; Master's or Ph.D. is a plus.
• 3+ years of experience in a data science or machine learning role.
• Strong proficiency in Python and SQL.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.

Responsibilities

• Work with stakeholders to understand requirements and develop solutions.
• Perform exploratory data analysis to generate actionable insights.
• Design and deploy machine learning models on GCP.
• Monitor model performance and troubleshoot issues.

Skills

Statistical analysis

Data visualization

Python

SQL

Machine learning frameworks

ETL processes

Problem-solving

Education

Bachelor's degree in Computer Science, Statistics, or related field

Tools

Google Cloud Platform

Looker Studio

Tableau

Power BI

Docker

Job description

The Data Science Engineer (GCP)will play a key role at Stacktics Inc., where we design, create, deploy, maintain and grow industry-leading Cloud Infrastructure, Big Data Analytics and Cloud For Marketing products, solutions and services.

The ideal candidate will have hands-on experience in the end-to-end lifecycle of a data science project, from data ingestion and model development to production deployment and monitoring, using native GCP services. This role is for a highly technical practitioner who can transform research and prototypes into robust, scalable production systems.

Key Responsibilities

• Work with business stakeholders and data engineers to understand requirements, identify data sources, and develop solutions to complex and open-ended business problems.
• Perform exploratory data analysis to identify patterns from historical data, generate and test hypotheses, and provide product owners with actionable insights.
• Design, develop, and deploy machine learning models and pipelines on GCP.
• Utilize core GCP services such as BigQuery for data storage and analysis, Vertex AI for model training and deployment, and Dataflow or Cloud Composer for building ETL/ELT pipelines.
• Implement and optimize Marketing Mix Modeling (MMM) solutions on Google Cloud Platform.
• Participate in the creation of Statements of Work and other Prospecting activities that require technical expertise and inputs.
• Monitor and troubleshoot model performance in production, ensuring system reliability and efficiency.
• Apply advanced statistical and machine learning techniques to a wide range of business problems, including forecasting, classification, and clustering.
• Communicate complex concepts and results to both technical and non-technical audiences.

Company-Wide Responsibilities:

• Maintain and exceed client satisfaction with Stacktics Inc.’ deliverables, day-to-day work and overall value as a partner
• Cultivate opportunities for company growth, always seek areas where Stacktics Inc.’ role could be expanded
• Adapt to ever-changing client needs and expectations
• Maintain dedication toward achieving excellence in Stacktics Inc.’ delivery against client needs, and overall success as an organization.
• Be an enthusiastic, positive and generally awesome team mate, mentor & constantly curious learner.
• Stay up-to-date on relevant technologies, plug into user groups, understand trends and opportunities to ensure we are using the best possible techniques and tools.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Master’s or Ph.D. is a plus.
• 3+ years of professional experience in a data science or machine learning role and advanced analytical workflows built on the cloud, GCP preferred
• Strong understanding of statistical analysis of data, including correlation analysis, outlier analysis and hypothesis testing
• Strong understanding of data visualisation concepts, different types of visualisation charts and choosing the appropriate visualisations to convey insights effectively
• 4+ years of experience building interactive dashboards using at least 1 data visualization tool such as Looker Studio, Tableau, or Power BI.
• Proven hands-on experience with the Google Cloud Platform ecosystem.
• Strong proficiency in Python and SQL.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of machine learning principles, algorithms, and best practices.
• Familiarity with containerization technologies, particularly Docker.
• Experience in hyperparameter tuning and evaluation of ML models
• Strong understanding of Feature Selection and Feature Engineering concepts
• Experience using ETL/orchestration/workflow management frameworks like Apache Airflow preferred, but not required
• Strong understanding of and experience with large-scale OLAP databases and data warehouses. Strong understanding of Google Cloud BigQuery preferred
• Understanding digital marketing ecosystems and tools, such as Google Marketing Platform, GA360, Google Ads, and Adobe Suite, is an essential strong asset
• Technical understanding of a range of marketing concepts, such as cookie-based data collection, setting and leveraging audience segments, attribution modelling, A/B testing, knowledge of marketing KPIs and their calculation will be a strong asset.
• Excellent written & verbal communication skills are essential; the candidate should be comfortable presenting and participating in group discussions of concepts with internal and external stakeholders.

Preferred Qualifications

• GCP certification (e.g., Professional Data Engineer, Professional Machine Learning Engineer).
• Experience with GCP.
• Experience in an MLOps-centric environment with knowledge of CI/CD and automation.
• Familiarity with real-time data streaming and processing.
• Experience with business intelligence tools like Looker or Tableau.
• Strong problem-solving skills and a proactive, results-oriented attitude.

WHAT’S IN IT FOR YOU?

• Flexible Remote Working Policy (within Canada)
• 100% employer-paid benefits package
• Regular Lunch and Learns from your Team Mates
• Standing desks
• Fully-loaded kitchen: snacks/fruit/drinks
• Awesome Employee Events and Activities
• Participation in Community Engagement