Job Title

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. Masters 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. WHATS 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 #J-18808-Ljbffr