As a Senior Data Scientist in Smart Manufacturing and AI at Micron Technology Inc., your responsibilities will includes creating comprehensive platform solutions that enable Fulfilment & Logistics Operations to leverage data and heuristics methods for decision making. You’ll collaborate with Global Operations and various sites to enhance aspects such as Cost, Scale, Quality, and Cycle Time. This will be achieved through the establishment and design of data architecture, and by working closely with key stakeholders to further the strategic initiatives of Global Operations.
Responsibilities:
Construct Future-Generation Data Systems
- Collaborate with diverse teams to establish and guide the roadmap and architecture of data infrastructure.
- Conceptualize, design, and develop a scalable and maintainable data pipeline encompassing data warehousing, data integration, and ETL processing.
- Create documentation related to software development, design, test cases, user training, and release.
- Lead or participate in bespoke data integration projects involving internal data systems and/or external subcontracted manufacturing and logistics systems.
- Work with SMAI/IT architectures/teams to plan and prioritize infrastructure delivery, ensuring processes and deliverables are aligned with the roadmap.
- Work alongside backend developers to define API specifications (e.g., REST services)
Ensure High-Quality Operational Data
- Set up best practices and tools for software development to uphold data integrity, perform cleanup, and validate across all pertinent data sources.
- Facilitate ongoing improvements in data quality to minimize support requirements.
- Establish centralized logging and monitoring systems equipped with logic for generating usage reports and conducting audits.
- Work in conjunction with IT to guarantee efficient processes for incident management, problem resolution, and change management.
Design and Implement Data Analytics
- Develop comprehensive business analysis that identifies challenges, opportunities, and potential solutions for the business. Project management and planning.
- Engage with extensive and intricate data sets to address a broad spectrum of business issues using various analytical and statistical methodologies.
- Resolve intricate optimization challenges utilizing optimization techniques.
- Create and standardize data science solutions within a production data pipeline.
- Ascertain statistical validity and significance, conduct statistical analysis to guide data-driven decisions, and identify anomalies, trends, and shifts.
Create Contemporary Visualization Solutions and Web Applications
- Develop web application and automate the needs for business reporting.
- Conduct interactive design sessions with customers.
- Utilize experimentation methods and design tests to enhance key user experiences.
Qualification:
A bachelor’s or master’s degree in data science, computer science, or information technology.
Minimum of 3 to 5 years of professional experience in the following areas:
- Software application (.NET or Java) and web application development (preferably Angular) and familiarity with JavaScript
- Business analysis and project management– assess processes, determine requirements, and deliver data-driven solutions to stakeholders
- Proficiency with business intelligence solutions (Nifi, Tableau, or Microsoft Power Platform)
- Comprehensive knowledge of relational databases, table and schema design, dimensional data modeling, SQL query and query optimization, and familiarity with database management systems (Microsoft SQL, HANA, or Snowflake)
- Understanding of the Agile development process
- Strong foundation in machine learning, statistical analysis, and data modeling.
- Outstanding problem-solving skills, with the ability to multitask and manage multiple projects concurrently.
- The ability to work in various areas of a development lifecycle, either as part of a team or independently.
- Self-driven, with a strong sense of ownership and the ability to work autonomously with minimal supervision.
- Effective communication skills, capable of presenting complex concepts and findings to both technical and non-technical stakeholders.
- High attention to detail, with a focus on data accuracy and quality.
- A team player who has experience working on projects with global stakeholders.
- Knowledge of the Manufacturing Execution System, SAP enterprise master data, and an understanding of logistics business acumen would be an advantage.
- Knowledge of capacity modeling, planning, and optimization would be an added advantage.
