Enter a job title or keyword
Data Science Lead R
Job Location:
Monthly Salary:
Posted:
5 September 2026 (18 hours ago)
Posted:
Application Deadline:
3 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Science Lead
Job requirements
- Set strategic priorities and determine team focus across AI Enablement and AI Experiments tracks ensuring measurable progress toward organizational goals
- Serve as the primary liaison with internal business teams to understand workflows gather requirements and translate business pain points into actionable technical work
- Collaborate with product teams to align exploration and experimentation efforts with broader product direction
- Lead the teams operating rhythm including stand-ups demos planning sessions and progress readouts to leadership and stakeholders
- Allocate resources across workstreams moving team members based on shifting priorities to maximize impact and efficiency
- Evaluate and shut down experiments or projects that are not delivering results reprioritizing efforts swiftly and effectively
- Guide the teams technology roadmap by making decisions on model selection infrastructure build-vs-buy tradeoffs and adoption of new tools
- Define and evolve AI governance and compliance practices establishing guardrails for responsible AI use data handling and decision explainability
- Manage and optimize AI infrastructure spend tracking LLM costs token usage patterns and vendor contracts to ensure cost-effective operations
- Advanced proficiency in Python for code review scripting and prototyping
- Strong understanding of LLM-based systems including retrieval-augmented generation pipelines
- Experience with ML frameworks such as TensorFlow PyTorch and Sci-Kit Learn
- Hands-on experience with Azure cloud infrastructure for deploying monitoring and scaling AI workloads
- Expertise in statistical analysis and computing including hypothesis testing t-test z-test and regression techniques
- Proficiency in forecasting techniques including exponential smoothing ARIMA and ARIMAX
- Knowledge of classification algorithms such as decision trees and SVM
- Familiarity with tools like KubeFlow and BentoML for ML lifecycle management
- Understanding of probabilistic graph models and advanced distance metrics (Hamming Euclidean Manhattan)
- Experience with agent orchestration patterns for multi-step AI workflows
- Expertise in prompt engineering to optimize output quality in LLM-based systems
- Proficiency with Great Expectations and Evidently AI for data validation and monitoring
- Experience defining AI governance frameworks for compliance and responsible data handling
- Bachelors degree in Computer Science Data Science Statistics Information Technology or a closely related discipline
- Certification in Machine Learning Data Science or Artificial Intelligence from a recognized institution
- Certification in Azure AI or Cloud Services (such as Microsoft Certified: Azure AI Engineer Associate)
With at least 8 years of experience in technical product management engineering management or similar roles leading technical teams in AI/ML or data-driven product development Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
