cover image
Stacktics

Stacktics

www.stacktics.com

3 Jobs

23 Employees

About the Company

Standing at the intersection of Cloud Computing, Data Analytics, and Digital Marketing, Stacktics has fused typically distinct disciplines into a new form of transformation that we call Digital Ecosystem Transformation. Our team has designed a framework to rapidly assess and guide the most important enhancements across People, Processes and Platforms, at enterprise scale. We are relentlessly dedicated to empowering our customers and partners, and are always pushing to move faster toward achieving our core mission of liberating teams from the status quo.

Listed Jobs

Company background Company brand
Company Name
Stacktics
Job Title
Technical Project Manager (Hybrid)
Job Description
Job Title: Technical Project Manager (Hybrid) Role Summary Lead end‑to‑end technical project delivery, ensuring alignment of scope, schedule, budget, and quality. Own the adoption and continuous improvement of project management tools and processes across the organization. Serve as the primary client contact for project execution and maintain strong cross‑functional collaboration. Expectations - Deliver projects on time, within scope and budget while meeting client expectations. - Establish and standardize PM processes, tools, and governance across all projects. - Act as the point of contact for clients during project phases prior to Account Manager engagement. - Foster a culture of proactive risk, issue, and change management. Key Responsibilities - Define project scope, objectives, and deliverables in partnership with stakeholders. - Develop detailed project plans (schedules, milestones, resource budgets, dependencies) using MS Project and other schedule tools. - Conduct risk assessments, define mitigation strategies, and update risk registers. - Monitor sprint progress, facilitate daily stand‑ups, and ensure teams meet sprint commitments. - Manage project documentation, change requests, and scope change control. - Lead budgeting activities: cost estimation, expense tracking, and budget variance reporting. - Own client communication: status reports, milestone updates, and issue resolution. - Oversee JIRA configuration, task tracking, and reporting for internal and client‑facing work. - Maintain and administer project‑related systems (Google Drive, Slack, other collaboration tools). - Mentor and motivate cross‑functional teams, promoting a collaborative work environment. - Ensure compliance with organisational governance, policies, and industry best practices. - Continuously evaluate and implement improvements to PM processes and system usage. Required Skills - Project Management: planning, scheduling, scope, risk, budget, issue, and change management. - Tool Proficiency: JIRA, MS Project, Google Drive, Slack, Microsoft Office Suite. - Methodologies: Agile (Scrum/Kanban), Waterfall, or hybrid delivery environments. - Stakeholder Management: client liaison, executive reporting, cross‑functional collaboration. - Leadership & Team Motivation. - Strong written and verbal communication. - Analytical and problem‑solving ability. Required Education & Certifications - Bachelor’s degree in Computer Science, Engineering, Business, or related field (or equivalent experience). - Professional certifications preferred: Project Management Professional (PMP), PRINCE2 Practitioner, Certified Scrum Master (CSM), or equivalent.
Toronto, Canada
Hybrid
17-11-2025
Company background Company brand
Company Name
Stacktics
Job Title
AI/ML Engineer (GCP)
Job Description
**Job title:** AI/ML Engineer (GCP) **Role summary:** Design, develop, and deploy end‑to‑end AI/ML solutions on Google Cloud Platform. Lead integration of AI models with Vertex AI, BigQuery, Cloud Storage, and enterprise data pipelines. Build dashboards, manage marketing analytics (GTM, GA4), and collaborate with data scientists and engineers to deliver measurable business outcomes. **Expectations:** • Deliver high‑quality, scalable AI/ML services aligned with business objectives. • Ensure consistent client satisfaction and proactive identification of growth opportunities. • Stay current on AI/ML advancements and implement responsible AI practices. • Mentor peers, maintain teamwork and continuous learning culture. **Key responsibilities:** 1. Architect AI/ML solutions and define technical strategy. 2. Build Bayesian, probabilistic models for prediction, classification, and decision‑making. 3. Develop, fine‑tune transformer‑based and generative AI models; apply prompt engineering, vector retrieval, and embeddings. 4. Prototype POCs, evaluate impact, design experiments balancing accuracy, interpretability, and cost. 5. Integrate AI models into GCP MLOps stack: Vertex AI Pipelines, Cloud Build CI/CD, BigQuery, Cloud Storage. 6. Design, build, and maintain scalable ETL pipelines and data workflows. 7. Create dashboards and visual analytics in Looker; drive KPI definition and insights. 8. Lead marketing analytics stack implementation (GTM, GA4, GA360). 9. Conduct testing, design test cases, troubleshoot defects. 10. Collaborate cross‑functionally with data scientists, engineers, and product owners. **Required skills:** • GCP MLOps: Vertex AI, BigQuery, Cloud Storage, Cloud Build, CI/CD pipelines • Python programming; integration of AI models with cloud AI platforms • SQL (large, dynamic analytical queries) • Bayesian modeling & probabilistic inference • Time‑series forecasting, causal inference, or incrementality measurement • Generative AI (prompt engineering, embeddings, vector retrieval) • Responsible AI principles & bias mitigation • Knowledge of Google Marketing Platform (GTM, GA4) • Experience with solution architecture and cloud‑native ML deployments **Required education & certifications:** • ≥4 years experience in AI/ML or data analytics with measurable impact • ≥3 years hands‑on Bayesian/probabilistic modeling • ≥3 years Python and SQL expertise • GCP Professional Machine Learning Engineer and/or Professional Data Engineer certifications preferred • Strong understanding of GCP services (Vertex AI, BigQuery, Cloud Storage) mandatory ---
Toronto, Canada
Hybrid
Junior
11-12-2025
Company background Company brand
Company Name
Stacktics
Job Title
Data Science Engineer (GCP)
Job Description
**Job Title:** Data Science Engineer (GCP) **Role Summary:** Design, develop, and deploy scalable data science solutions on Google Cloud Platform. Transform research prototypes into production-ready models, building end‑to‑end pipelines from data ingestion to monitoring, and drive actionable insights for marketing analytics. **Expectations:** - Deliver high‑quality, production‑ready models and dashboards on time. - Maintain client satisfaction and seek growth opportunities. - Exhibit a proactive, results‑oriented mindset and strong collaboration skills. - Stay current with emerging technologies and best practices. **Key Responsibilities:** - Collaborate with stakeholders and data engineers to define problems and identify data sources. - Perform exploratory data analysis, hypothesis testing, and produce actionable insights. - Design, train, and deploy ML models using Vertex AI, BigQuery, Dataflow, or Cloud Composer. - Build and maintain ETL/ELT pipelines and MLOps workflows. - Implement and optimize Marketing Mix Modeling (MMM) solutions on GCP. - Monitor production models, troubleshoot performance, and ensure reliability. - Communicate complex findings to technical and non‑technical audiences. - Contribute to Statements of Work, prospecting, and client engagement activities. **Required Skills:** - **Programming & Databases:** Python, SQL, Docker, and container orchestration. - **Cloud & Big Data:** GCP services (BigQuery, Vertex AI, Dataflow, Cloud Composer), GCP certification preferred. - **Machine Learning:** TensorFlow, PyTorch, or Scikit‑learn; hyperparameter tuning, feature engineering, and evaluation. - **Analytics & Visualization:** Statistical analysis, hypothesis testing, correlation/outlier analysis; dashboard creation with Looker Studio, Tableau, or Power BI. - **MLOps & DevOps:** CI/CD, automation, real‑time data streaming, and workflow management (Airflow/Cloud Composer). - **Marketing Domain:** Understanding of digital marketing tools (Google Marketing Platform, GA360, Google Ads, Adobe Suite), attribution modeling, A/B testing, and marketing KPIs. - **Communication:** Clear written and verbal skills; ability to present to varied audiences. - **Soft Skills:** Problem‑solving, proactive attitude, strong teamwork, and continuous learning. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, or related quantitative field. - Master’s or Ph.D. is a plus. - GCP certification (Professional Data Engineer or Professional Machine Learning Engineer) strongly preferred.
Toronto, Canada
Hybrid
Junior
30-12-2025