Data Science Engineer; GCP

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.

• 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 Big Query 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.

• 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.

• 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 Tensor Flow, 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 Big Query 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…