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Senior Data Scientist- GCP Focus (Marketing Analytics)

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Valtech

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Location:
Colombia

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Ideal candidates will bring a strong quantitative background and a disciplined analytical mindset. While they will have demonstrated experience writing code, they approach programming as a way to express intellectual curiosity and analytical thinking—not simply as a résumé‑building exercise. We are particularly seeking candidates with hands-on experience in Google Cloud Platform (GCP) and marketing data modeling to support Valtech’s growing cloud-based data, AI, and marketing analytics initiatives. Valtech provides a collaborative platform, mentorship, and training to help individuals reach their full potential.

Job Responsibility:

  • Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels
  • Conduct root-cause analysis of production issues that lead to adverse model outputs
  • Design, build, and optimize marketing mix models (MMM), attribution models, and other econometric or causal models using marketing data
  • Select and implement appropriate machine learning models for time-series forecasting, supply-chain optimization, and marketing performance use cases
  • Contribute well-tested, maintainable code to existing object-oriented Python codebases
  • Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor
  • Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions
  • Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences
  • Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications
  • Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth
  • Engineer data infrastructure, libraries, and APIs supporting BI, ML, and marketing analytics pipelines
  • Architect cloud data platform components that enable scalable analytics and modeling solutions
  • Build and manage project timelines, dependencies, and risks
  • Gather stakeholder requirements and perform technical due diligence to design pragmatic, data-driven marketing and business solutions

Requirements:

  • Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
  • Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
  • Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
  • Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
  • Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
  • Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
  • Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
  • Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
  • 4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
  • Advanced English proficiency

Nice to have:

  • Experience contributing to packaged software libraries in open-source or industry repositories
  • Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3
  • Proficiency in Looker and SQL-first analytical storytelling
  • ability to produce decision-ready visuals and narratives for marketing and executive audiences
  • Proficiency scripting in UNIX environment
  • Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc.
  • Proficiency with cloud architecture components (AWS, Azure, Google)
  • Proficiency with GCP architecture components relevant to secure analytics products (IAM/service accounts, RBAC-aware data access, deployment and observability patterns)
  • Proficiency with data pipeline software such as Airflow, Luigi, or Prefect
  • Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action
  • Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) including API design (REST/GraphQL) and library development
  • Experience leading and managing technical data/analytics/machine learning projects
What we offer:
  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training and industry experts

Additional Information:

Job Posted:
April 27, 2026

Work Type:
Remote work
Job Link Share:
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