One Thing

Technology

DataScientist

S$95–145k ~AI est. Singapore, Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist at One Thing. Skills: Data Science, Machine Learning, Data Engineering, AI. Design, develop, and program methods, processes, and systems. Generate actionable insights and solutions for client services”

Industry & Context.

Technology
Problems you'll solve

Problem-solving skills

What They're Looking For.

Must Have

Degree in Computer Science, Mathematics, Statistics, Data Science or related fields, Foundation in statistical modeling, advanced analytics, and modern machine learning techniques, Extract data from different databases via SQL and other query languages, Applying data cleansing, outlier identification, and missing data techniques, Proficiency with data visualization tools (Tableau, PowerBI etc), Proficiency building interactive UIs using frameworks (Streamlit, React, Angular, or similar), Proficiency in Python and other programming skills, Excellent communication and presentation skills, Excellent problem-solving skills, Able to work independently and collaborate effectively with diverse teams, Proven ability to work independently, manage multiple priorities, Deliver high-quality results in fast-paced, dynamic environments, Ability to apply baseline digital fluency and role‑appropriate AI literacy

Nice to Have

Experience with cloud platforms (GCP, AWS etc), Cloud certifications, Exposure to semiconductor industry, Experience in web development, Experience with generative AI and large language models (LLMs), RAG, LLM tuning, and development of agents, Contributions to top-tier conferences (CVPR, NeurIPS, ICML, KDD)

What You'll Do.

Generate actionable insights and solutions for client services

Interact with product and service teams to identify

Develop and code software programs

algorithms and automated

Deploy data science models and lead the end-to-end

model maintenance and monitoring

Identify relevant insights from large data and metadata

Interpret and communicate insights and findings from analysis

Integrates AI-assisted tools and insights into daily work

Exercise sound judgment and complying with organizational standards

Contributes to a culture of continuous improvement by

How You'll Work.

Team & Collaboration

Experienced Data Scientists; Data Engineers; Business Areas Engineers; UX teams; Product and service teams; Business managers; Diverse teams

Communication Scope

Presentation skills; Convey complex data insights; Non-technical audiences

Full Job Description

**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed. You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities. **Responsibilities include, but not limited to:** * Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product improvement. * Interact with product and service teams to identify questions and issues for data analysis and experiments. * Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. * Deploy data science models and lead the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring. * Identify

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