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Data Scientist I or II (MAD-BS-OR) - Job Opportunity at Hitachi High-Tech America, Inc.

Hillsboro, USA
Full-time
Mid-level
Posted: January 31, 2025
Hybrid
USD 93,890 - 157,697 per year

Benefits

Hybrid work arrangement with 70% remote flexibility
International travel opportunities (up to 5%)
Potential for incentive pay and allowances
Career progression between Data Scientist I and II levels

Key Responsibilities

Lead development of AI software systems for industrial applications
Design and implement machine learning algorithms and statistical models
Collaborate with service engineers to identify optimization opportunities
Architect and document complex software solutions
Conduct design reviews and quality assurance processes

Requirements

Education

Master of Science degree in Data Science, Statistics, Computer Science, or similar quantitative field

Experience

5+ years

Required Skills

Python programming with data science packages (Pandas, Numpy, SKlearn, Keras, Matplotlib) Machine Learning algorithm development Statistical Modeling Neural Networks Pattern Recognition Software development lifecycle Test-driven development Agile methodologies System performance evaluation Version control systems Communication skills Problem-solving abilities
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Sauge AI Market Intelligence

Industry Trends

Industrial AI applications are seeing rapid adoption in manufacturing and metrology sectors, indicating a strategic shift towards automated quality control and process optimization. The convergence of traditional manufacturing with AI capabilities is creating unique roles that blend domain expertise with data science. There's an increasing emphasis on real-time analytics and edge computing in industrial settings, particularly in semiconductor manufacturing.

Salary Evaluation

The offered salary range is competitive for the Portland metro area and aligns with market rates for mid-level data scientists in the manufacturing sector. The wide range (93k-157k) suggests room for negotiation based on experience and specific role level.

Role Significance

Likely part of a specialized team of 5-8 data scientists within a larger R&D organization
Mid to senior individual contributor role with potential for technical leadership

Key Projects

Implementation of AI-driven metrology systems Machine learning models for semiconductor inspection Automated quality control systems Process optimization algorithms

Success Factors

Deep understanding of both theoretical and practical aspects of machine learning Ability to bridge the gap between data science and industrial applications Strong software engineering practices Excellent communication skills for cross-functional collaboration

Market Demand

High demand with strong growth trajectory due to increasing industrial automation and smart manufacturing initiatives

Important Skills

Critical Skills

Advanced Python programming skills for production-grade ML systems Deep understanding of statistical modeling and machine learning algorithms Experience with industrial applications of AI

Beneficial Skills

Knowledge of semiconductor manufacturing processes Experience with edge computing and real-time systems Japanese language skills or experience with Japanese business culture

Unique Aspects

Direct application of AI in industrial metrology systems
Combination of software development and machine learning in manufacturing context
International exposure with Japanese technology leader

Career Growth

2-3 years for internal advancement, depending on project success and skill development

Potential Next Roles

Senior Data Scientist ML Architecture Lead Technical Product Manager AI Research Scientist

Company Overview

Hitachi High-Tech America, Inc.

Hitachi High-Tech America is a subsidiary of Hitachi Group, focusing on advanced technology solutions particularly in semiconductor and manufacturing sectors.

Leading position in metrology and semiconductor equipment manufacturing with strong R&D focus
Significant presence in the Pacific Northwest technology corridor with global reach
Traditional Japanese corporate culture balanced with American technology company practices, emphasizing innovation and precision
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