Senior Data Scientist

This is a fully remote position, open to applicants in South Africa.

📋 Description

• Design, develop, and deploy Generative AI features for technical Q&A and data comprehension tools.

• Create agentic workflows that encompass planning, tool utilization, information retrieval, execution, and verification.

• Implement measurable metrics for quality, reliability, and cost management.

• Construct GenAI evaluation frameworks that include offline test sets, automated scoring, human review processes, regression suites, and production oversight.

• Provide production-ready services and pipelines, which include APIs, background tasks, data processing, configuration, and release workflows.

• Collaborate with product managers, engineers, and subject matter experts to convert customer challenges into milestones, acceptance criteria, and success metrics.

• Enhance system quality through rigorous testing, observability, optimization of latency and scalability, and establishing guardrails.

• Participate in the creation of design documents, conduct code reviews, and make practical technical decisions.

⛳️ Requirements

• 4–8+ years of relevant experience in applied data science and the development of Generative AI/LLM products, with substantial responsibility for production delivery.

• Proficient programming skills in Python, coupled with modern engineering practices that include testing, packaging, CI/CD, APIs, and code reviews.

• Demonstrated experience in delivering GenAI/LLM applications into production, with a focus on reliability and operational considerations.

• Practical experience in building agents and utilizing agent frameworks such as LangChain, Agno, or similar tool-using agent stacks.

• Proven ability to manage ambiguous problems from start to finish: scoping, implementation, rollout, and iteration.

• Self-sufficient, autonomous, proactive, and able to thrive in a remote team environment.

• Competence in articulating trade-offs, crafting clear documentation, and aligning stakeholder expectations.

• Dedication to remaining updated with advancements in Generative AI and agent frameworks.

• Experience with fleet management, telematics, IoT, time-series data, or analytics platforms.

• Familiarity with deploying LLM/GenAI services on Azure, AWS, or GCP, including monitoring and cost management strategies.

• Understanding of security, privacy, and compliance issues related to enterprise AI products.

• Background in constructing structured LLM evaluations, including golden sets, adversarial testing, and prompt/agent regression analysis.

• Exposure to multi-region or multi-language product requirements.

🏝️ Benefits

• Fully remote position within a remote-first team culture.

• High-ownership role working on a customer-facing AI product.

• Competitive compensation aligned with regional standards.

• Significant opportunities for growth based on impact.

• People-centric organizational culture.

• Reasonable accommodations provided throughout the recruitment process.