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.

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 :

Qualifications :

Preferred Qualifications

WHAT’S IN IT FOR YOU?

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