One Thing
Technology
DATASCIENTIST,SMAI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“DATA SCIENTIST, SMAI at One Thing. Skills: Data Science, Machine Learning, Data Analysis, Predictive Modeling. Design methods, processes, and systems. Develop methods, processes, and systems”
Industry & Context.
Problem-solving
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 databases via SQL, Proficiency with data visualization tools, Proficiency building interactive UIs, Proficiency in Python, Excellent communication and presentation skills, Excellent problem-solving skills, Able to work independently, Collaborate effectively with diverse teams, Proven ability to work independently, Manage multiple priorities, Deliver high-quality results, Apply baseline digital fluency, Role-appropriate AI literacy
Nice to Have
Experience with cloud platforms, Cloud certifications, Exposure to semiconductor industry, Experience in web development, Experience with generative AI, Experience with large language models (LLMs), RAG experience, LLM tuning experience, Development of agents experience, Contributions to top-tier conferences
What You'll Do.
Consolidate big data sources
Analyze big data sources
Generate actionable insights
Generate solutions for client services
Generate solutions for product improvement
Interact with product teams
Interact with service teams
Identify questions for data analysis
Identify issues for data analysis
Identify questions for experiments
Identify issues for experiments
Develop software programs
Code software programs
Develop automated processes
Code automated processes
Cleanse large datasets
Integrate large datasets
Evaluate large datasets
Deploy data science models
Own end-to-end life cycle
Design data science solutions
Develop data science solutions
Deploy data science solutions
Maintain data science models
Monitor data science models
Identify relevant insights from large data
Identify relevant insights from metadata
Interpret insights from analysis
Interpret findings from analysis
Interpret insights from experiments
Interpret findings from experiments
Communicate insights to managers
Communicate findings to managers
Integrate AI-assisted tools
Integrate AI-assisted insights
Exercise sound judgment
Comply with organizational standards
Comply with legal requirements
Contribute to continuous improvement
Identify AI-enabled enhancements
Test AI-enabled enhancements
Share AI-enabled enhancements
How You'll Work.
Team & Collaboration
Data Engineers; Business Areas Engineers; UX teams; Product teams; Service teams; Business managers
Communication Scope
Presentation skills; Convey complex data insights
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 Scientist 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. ## Primary Responsibility, 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 own the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring. * Identify relevant ins
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