Data Scientist

🕒 July 28

🇵🇭 Philippines – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.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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Full Scale

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

☁️ SaaS

🏢 Enterprise

Consulting • SaaS • Enterprise

Full Scale is a staff augmentation company that focuses on providing exceptional tech talent to businesses across various industries. Founded by Matt Watson, a seasoned tech entrepreneur, Full Scale has partnered with over 200 tech companies since its inception, offering top-notch services while fostering a positive work environment for its employees. The company's commitment to corporate social responsibility is evident in its engagement in community outreach, environmental sustainability, and educational initiatives.

📋 Description

• Design, build, and evaluate LLM agents with tool use and function calling • Build agents that interact with business systems and perform multi-step tasks • Design guardrails, confidence thresholds, and escalation logic • Build evaluation frameworks with offline testing, edge cases, A/B testing, and regression testing • Develop and maintain RAG systems, including embeddings, vector search, chunking, retrieval tuning, and re-ranking • Manage prompt architecture, versioning, and change control • Partner on conversational and voice AI experiences, including latency and quality metrics • Build, validate, and deploy production machine learning models • Develop models for forecasting, customer lifetime value, customer defection, next-service prediction, identity resolution, and demand-related use cases • Own the full ML lifecycle from feature engineering and training through deployment, monitoring, and retraining • Use Python and modern ML tools against lakehouse and data warehouse environments • Monitor models for drift and performance degradation • Translate business questions into well-defined data science and modeling problems • Communicate model results and business impact to technical and non-technical stakeholders • Document methodology, assumptions, and limitations

🎯 Requirements

• 4+ years of professional experience applying data science in production • Strong Python and SQL skills • Hands-on experience building LLM agents with tool use/function calling • Experience building and evaluating RAG systems, including embeddings, vector search, chunking, and retrieval evaluation • Strong statistical and data science fundamentals • Experience deploying machine learning models to production • Experience with AWS cloud ML services such as Bedrock, SageMaker, or Lambda • Experience working with a lakehouse or data warehouse environment • Strong communication skills and ability to work independently • Nice to have: Experience with Databricks, Spark, or Delta Lake • Nice to have: Experience with agent frameworks and orchestration patterns • Nice to have: Experience with structured outputs/JSON-mode reliability • Nice to have: Voice AI or conversational AI experience • Nice to have: Experience with time-series forecasting or causal inference • Nice to have: Automotive retail, DMS, CRM, or related domain experience • Nice to have: Familiarity with AI safety and evaluation practices, including handling PII in prompts and logs

🏖️ Benefits

• 100% remote work setup • Work from anywhere in the Philippines • High-impact role working with real production AI systems • Opportunity to build and shape agentic AI solutions, not just prototypes • Work with a small, senior, and highly autonomous team • Build AI and ML systems with measurable business impact