Data Scientist – Mid
Arch Global Services (Philippines) Inc.
full-time
Posted on:
Location Type: Remote
Location: Philippines
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About the role
- Collaborate with scientists, engineers, product owners, and business customers to translate business problems into technical solutions
- Deliver solutions for data extraction, classification, routing, search, and decision-making using foundation models with guidance on approach
- Manipulate and analyze data programmatically, derive statistically sound insights, and communicate findings that address technical and business considerations
- Engineer and evaluate foundation model prompts systematically across domain datasets
- Implement evaluation frameworks using precision, recall, F-1 scores, accuracy, and operational metrics with guidance
- Contribute to documentation and support junior team members as peer collaborator
- Break down well-scoped problems into measurable components and identify trade-offs between approaches
Requirements
- 2-5 years of relevant professional experience in data science, machine learning, or related fields; advanced graduate research or academic work may substitute for professional experience
- Strong communication skills that convey statistical and business impact, proactively surface issues, and keep collaborators and leaders informed
- Proficiency with Python from a functional programming paradigm, including dependency management, virtual environments, and git version control
- Experience or strong familiarity with cloud platforms like Azure and Databricks using foundation model APIs (OpenAI, Anthropic, Google, etc.)
- Working familiarity with ML fundamentals (supervised/unsupervised learning, evaluation metrics, model validation) and statistical methods
- Experience implementing solutions with foundation models, including prompt engineering and output validation
- Demonstrated capability to execute well-scoped projects with periodic guidance, iteratively refining through diagnosis and hypothesis testing
- Bachelor's or graduate degree in quantitative field with systems thinking exposure (Computer Science, Statistics, Economics, Physics, Mathematics, Operations Research, Computational Linguistics)
- Insurance industry exposure
- Experience with agent frameworks (LangChain, LlamaIndex), RAG systems, or vector databases
- Experience with evaluation frameworks, experimental design, or production ML monitoring
Benefits
- Employees can work remotely
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data extractiondata classificationdata routingdata searchdata decision-makingPythonfoundation modelsprompt engineeringevaluation metricsstatistical methods
Soft Skills
communication skillscollaborationproblem-solvingproject executionpeer support