Data Science Engineer

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

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