Senior Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇿🇦 South Africa – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Powerfleet

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1993

📦 Logistics

💼 Consulting

🤖 Artificial Intelligence

Logistics • Consulting • Artificial Intelligence

Powerfleet is a global AIoT and SaaS-based mobile asset management company that provides end-to-end solutions to monitor, manage, and optimize connected vehicles and warehouse assets. The company ingests and harmonizes data from diverse sources to deliver actionable insights that improve safety, efficiency, and sustainability across the supply chain. Powerfleet serves millions of subscribers and thousands of enterprise customers worldwide, positioning itself as a B2B technology provider for intelligent mobility and operational optimization.

📋 Description

• Design, build, and ship Generative AI capabilities for technical Q&A and data understanding tools • Develop agentic workflows covering planning, tool use, retrieval, execution, and verification • Establish measurable quality, reliability, and cost controls • Build GenAI evaluation systems with offline test sets, automated scoring, human review loops, regression suites, and production monitoring • Deliver production-ready services and pipelines, including APIs, background jobs, data processing, configuration, and release workflows • Partner with product, engineering, and domain experts to translate customer problems into milestones, acceptance criteria, and success metrics • Improve system quality through testing, observability, latency and scalability optimization, and guardrails • Contribute design documents, code reviews, and pragmatic technical decisions

🎯 Requirements

• 4–8+ years of relevant experience in applied data science and Generative AI/LLM product development, including significant responsibility for production delivery • Strong programming skills in Python, with modern engineering practices including testing, packaging, CI/CD, APIs, and code reviews • Proven experience delivering GenAI/LLM applications into production, including reliability and operational considerations • Hands-on experience building agents and using agent frameworks such as LangChain, Agno, or similar tool-using agent stacks • Experience owning ambiguous problems end-to-end: scoping, implementation, rollout, and iteration • Independent, autonomous, self-driven, and proactive in a remote team • Ability to explain trade-offs, write clear documentation, and align stakeholders • Commitment to staying current with Generative AI and agent frameworks • Experience with fleet management, telematics, IoT, time-series data, or analytics platforms • Experience deploying LLM/GenAI services in Azure, AWS, or GCP, including monitoring and cost management • Familiarity with security, privacy, and compliance considerations for enterprise AI products • Experience building structured LLM evaluations, including golden sets, adversarial testing, and prompt/agent regression • Exposure to multi-region or multi-language product needs

🏖️ Benefits

• Fully remote role with a remote-first team culture • High-ownership work on a customer-facing AI product • Competitive, region-aligned compensation • Meaningful opportunities to grow scope based on impact • People-first culture • Reasonable accommodation throughout the recruitment process

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