Data Scientist

FinOps Data Scientist/Cloud Architecture Expertise Remote - US We are seeking a FinOps Data Scientist with strong multi-cloud architecture expertise to join our FinOps Multi-Cloud Cost Optimization program. This is a hybrid role combining the data science depth needed to deliver advanced cost analytics, forecasting, and automation, with the cloud architecture acumen required to design and guide cost-efficient, scalable, and compliant multi-cloud environments. The successful candidate will operate as both a hands-on practitioner and a thought leader, advising on cloud financial governance and architecture patterns while building predictive models and automation to maximize efficiency across Azure, AWS, and GCP. Key Responsibilities Cloud FinOps Data Science & Analytics • Develop and refine predictive models for multi-cloud cost forecasting, anomaly detection, and optimization scenario analysis. • Apply machine learning techniques to detect inefficiencies, usage anomalies, and cost-saving opportunities. • Translate complex cost and usage data into actionable insights for cloud service owners, finance, and architecture teams. • Leverage and integrate data from Cloudability (Apptio), Azure Cost Management, AWS Cost Explorer, and GCP Billing into unified analytics workflows. Multi-Cloud Architecture Enablement • Provide architectural guidance to design cost-efficient, secure, and scalable solutions across Azure, AWS, and GCP. • Define and enforce tagging, labeling, and cost allocation frameworks to enable accurate chargeback/showback reporting. • Collaborate with FinOps Architects to align optimization strategies with landing zones, VPC/VNet architectures, container platforms (AKS, EKS, GKE), and hybrid connectivity patterns. • Recommend architectural adjustments to reduce spend (e.g., rightsizing compute, leveraging spot/preemptible instances, optimizing storage tiers). Optimization & Automation • Partner with automation engineers to build API-driven workflows for cost anomaly alerts, automated remediation, and scaling policies. • Implement infrastructure-as-code templates (e.g., Terraform, Bicep) to standardize cost-conscious deployments. • Conduct what-if analyses to evaluate the financial impact of proposed architectural or operational changes before implementation. Stakeholder Engagement & Governance • Serve as a trusted advisor to enterprise architects, finance, and cloud operations teams. • Present recommendations to senior leadership, balancing technical feasibility, cost impact, and governance alignment. • Ensure all FinOps activities align with client security, compliance, and cost governance frameworks. Required Qualifications • 5+ years in data science, cloud analytics, or applied machine learning, with at least 2 years in a FinOps or cloud architecture-focused role. • Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for large dataset analysis. • Strong understanding of multi-cloud architecture principles and cost optimization strategies. • Experience with Cloudability (Apptio), Azure Cost Management, AWS Cost Explorer, GCP Billing APIs. • Knowledge of FinOps principles and enterprise cloud governance models. • Ability to clearly communicate complex data and architecture trade-offs to varied audiences. Preferred Qualifications • Experience with machine learning on cloud-native platforms (Azure Machine Learning, AWS SageMaker, GCP Vertex AI). • Hands-on experience with infrastructure-as-code (Terraform, Bicep) and automation pipelines (GitHub Actions, Azure DevOps). • Familiarity with container orchestration (AKS, EKS, GKE) and associated cost considerations. • FinOps Certified Practitioner or Architect certification. • Background in large enterprise multi-cloud transformations. Why Work With Us • Hybrid Expertise: Operate at the intersection of data science and cloud architecture to deliver measurable business impact. • Impact at Scale: Optimize cloud costs for one of the world’s largest enterprise IT environments. • Thought Leadership: Influence both architecture and financial governance strategies in a high-visibility program. • Global Collaboration: Work with a cross-functional FinOps team across US, India, and LATAM.