Data Scientist I or II (MAD-BS-OR)

Location:

(HTA) NCP (Hillsboro, OR)

Job ID:

R0065773

Date Posted:

2024-11-20

Company Name:

HITACHI HIGH-TECH AMERICA, INC.

Profession (Job Category):

Data Analytics/Business Intelligence

Job Schedule: 

Full time

Remote:

No

Job Description:

POSITION: Data Scientist I or II

DIVISION: Metrology and Analysis Systems Division (MAD)

COMPANY: Hitachi High-Tech America, Inc. (“HTA”)

TRAVEL: Up to 5% (internationally)

REMOTE WORK: Hybrid (+50% Remote) – Remote 70% / Onsite 30%

EXPECTED PAY RANGE: $93,890 - $157,697 annually
This pay range is for the position’s base pay only. This position may be eligible for other compensation including incentive pay and/or allowances. Candidates will receive additional information during the interview and selection process.

Position Level: The best fit candidate selected for this position will be offered a job title/level (Data Scientist I vs. Data Scientist II) that is most appropriate after evaluating the candidate's education, experience, training, knowledge, skills, and abilities.

POSITION SUMMARY
Data Scientists are responsible for the development and maintenance of Artificial Intelligence (AI) software and systems for Hitachi High-Tech America, Inc. (HTA) products.
PRIMARY RESPONSIBILITIES
 

• Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration. 
• Hands on experience in Python including major data science packages .
• Analyze data collection results, perform model-based designing and building. 
• Interacts with different groups of service engineers on the ground to understand the pain points, data collection and to develop products related to Machine Learning .
• Researching and resolving complex software and system problems
• Designing and simplifying user interfaces and documenting them
• Creating architectures and complex designs independently and documenting them .
• Integrate and test software to confirm compliance with specifications.
• Developing functional specifications .
• Finding and fixing complex errors in the software
• Participate in design reviews, code reviews of peers and test reviews .
• Performing functional tests 

EDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTS

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

EXPERIENCE and TRAVEL REQUIREMENTS

• Must have at least 5+ years of practical experience in writing algorithms in Machine Learning, Statistical Modelling, Neural Nets, and Pattern Recognition from data exploration
• Must have 5+ years of hands-on programming experience in Python including major data science packages such as Pandas, Numpy, SKlearn, Keras, Matplotlib, and related technologies.
• Experience with system performance evaluation
• Experience using a central software repository system where source can be stored for effectively working with distributed team in different geographical locations.
• Effective oral and written communication skills, including ability to effectively communicate challenging or technical concepts.
• Full software development lifecycle experience, must be comfortable working using Agile as well as iterative methodologies
• Experience with Test-driven development using tools to spot performance issues and memory leaks.
• This position requires international travel for business purposes – up to 5%

KNOWLEDGE, SKILLS, and/or ABILITIES REQUIREMENTS / SAFETY REQUIREMENTS

• Ability to investigate and apply new technologies
• Ability to improve the software development process
• Excellent demonstrated verbal and written communication skills
• Excellent relationship building skills
• General technical knowledge of semiconductor metrology equipment
• Strong engineering analytical and problem-solving skills
• Proactively undertake R&D activities and deliver tangible results under deadlines
• Ability to manage multiple tasks and prioritize work accordingly
• Work longer than normal hours as needed during releases and customer escalations
• Self-sufficient, self-reliant, and self-disciplined, but also able to operate effectively as part of a team
• Ability to comprehend and enforce safety policies

Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]