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Senior Data Scientist- GCP Focus (Marketing Analytics)

5 days, 7 hours ago
Colombia
Full-time
Senior
Data Scientist
Data Science and Analytics
Angular Apache Airflow Apache Pig Apache Spark AWS Azure CSS GCP GraphQL Hive HTML Impala JavaScript Looker Luigi Machine Learning Matplotlib Power BI Prefect Python R React REST API Seaborn SQL Tableau Unix Vertex AI Vue.js
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Valtech

Valtech

Valtech is a global business transformation company specializing in technology, marketing, and experience design to help clients innovate, connect with consumers, and optimize ROI.

Professional Services
5K-10K
Founded 1993
View All Jobs 84

Description

  • Contribute to production readiness through monitoring, incident response support, and operational runbooks.
  • Conduct root-cause analysis of production issues that affect model outputs.
  • Design, build, and optimize marketing mix models, attribution models, and other econometric or causal models.
  • Select and implement 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 large-scale raw datasets to deliver impact for enterprise clients while maintaining scientific rigor.
  • Engineer data pipelines and data products that support data-driven marketing and business decisions.
  • Communicate analytical insights clearly through visual and intuitive presentations for marketing, product, and executive audiences.
  • Create interactive dashboards using Tableau, Power BI, Looker, or custom web applications.
  • Define KPIs and perform deep-dive analyses 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 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 patterns.
  • Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data.
  • 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 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, including precision/recall, MAPE, ROI, incrementality, and 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.
  • Experience contributing to packaged software libraries in open-source or industry repositories.
  • Proficiency in visualization/reporting tools such as Tableau and Power BI, or programmatic visualization libraries such as ggplot2, matplotlib, seaborn, bokeh, or D3.
  • Proficiency in Looker and SQL-first analytical storytelling.
  • Proficiency scripting in a UNIX environment.
  • Proficiency in big data environments and tools such as Spark, Hive, Impala, or Pig.
  • Proficiency with cloud architecture components across AWS, Azure, or Google Cloud.
  • Proficiency with GCP architecture components relevant to secure analytics products, including 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-end and back-end web application development stacks and frameworks, including JavaScript, HTML, CSS, and React/Vue/AngularJS, plus REST/GraphQL API design and library development.
  • Experience leading and managing technical data, analytics, or machine learning projects.

Benefits

  • Competitive compensation package.
  • Remote and hybrid work options, depending on country.
  • International mobility and career advancement opportunities.
  • Professional development programs.
  • Access to cutting-edge tools, training, and industry experts.
  • Inclusive, values-driven workplace culture.
  • Mentorship and training to support growth.

Interested in this position?

Apply directly on the company website

Apply Now

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