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

Description

The company builds and maintains artificial intelligence software and systems for its products, and this role sits in the Metrology and Analysis Systems Division (MAD).

The title offered will be Data Scientist I or Data Scientist II, based on your skills, abilities, knowledge, training, experience and education.

The job is listed with job ID R0128931, was posted on 2026-05-01, and falls under Data Analytics/Business Intelligence.

Responsibilities

• Write algorithms in machine learning, statistical modelling, neural networks and pattern recognition, starting from data exploration, and build them yourself.
• Build, train and deploy machine learning models for time-series forecasting, anomaly detection, classification and regression on tabular and sensor data, predictive maintenance and failure prediction.
• Design complete machine learning pipelines covering data ingestion, feature engineering, training, evaluation and deployment.
• Lead or support root cause analysis (RCA) investigations using data-driven methods.
• Build frameworks for fault tree analysis (FTA) and for identifying failure modes.
• Work with engineering and operations experts to turn failure patterns into machine learning features and models.
• Design and build agentic AI systems that reason on their own over structured and unstructured data, use tools such as query engines, APIs and analytics pipelines, and make multi-step decisions in diagnostic workflows.
• Implement LLM-based systems that include tool-calling frameworks, retrieval-augmented generation (RAG), and structured outputs with validation pipelines.
• Work with data engineers, software engineers and domain experts on shared projects.
• Build scalable, production-ready solutions with Python ML frameworks such as TensorFlow, PyTorch and Scikit-learn, and with data tools such as Pandas, Spark and SQL.
• Deploy models and services through REST APIs (FastAPI, Flask) and containers (Docker, Kubernetes).
• Use modern data platforms, including time-series databases (Prometheus, InfluxDB), analytical databases (ClickHouse, PostgreSQL) and vector databases (Qdrant, FAISS).
• Turn business problems into technical solutions.
• Independently create architecture and complex designs and document them.
• Integrate and test software to confirm it meets specifications, and write functional specifications.
• Take part in design, code and test reviews, and run functional tests.
• Take on other duties as needed.

Requirements

• A Master of Science degree in Data Science, Statistics, Computer Science or a similar quantitative field.
• At least five (5) years of practical experience writing algorithms in machine learning, statistical modelling, neural networks and pattern recognition, starting from data exploration.
• Five (5) years of experience in data science or machine learning.
• Strong Python programming skills.
• Proven experience with time-series analysis, anomaly detection, statistical modelling and machine learning algorithms.
• Hands-on experience with root cause analysis (RCA) and with fault tree analysis (FTA) or failure modelling.
• Experience with real-world, noisy and large-scale datasets.
• Experience with agentic AI or LLM systems, including tool-calling architecture, RAG pipelines, and prompt engineering with evaluation frameworks.
• Familiarity with distributed systems and scalable machine learning infrastructure.
• Familiarity with MLOps practices such as CI/CD, monitoring and model versioning.
• Knowledge of signal processing or physics-based modelling.
• Knowledge of graph-based reasoning or causal inference.
• Experience across the full software development lifecycle, comfortable working with Agile and iterative methods.
• Experience with test-driven development and with tools that find performance issues and memory leaks.
• Ability to learn and apply new technologies.
• Strong written and oral communication, including explaining complex or technical ideas clearly.
• Good relationship-building skills.
• General technical knowledge of semiconductor metrology equipment.
• Strong engineering analysis and problem-solving skills.
• Ability to carry out R&D activities on your own initiative and deliver concrete results to deadlines.
• Ability to manage several tasks at once and set priorities.
• Willingness to work longer hours when needed during releases and customer escalations.
• Self-sufficient, self-disciplined and reliable, while also working well in a team.
• Ability to understand and enforce safety policies.

Conditions

The role is full time and based in Hillsboro, OR.

The work model is hybrid with more than 50% remote work: 60% remote and 40% onsite. The posting marks the role as not remote.

Travel is required for business purposes, up to 5% of the time, including international trips.

The base pay range is $99,608 to $136,961 per year for Data Scientist I and $121,673 to $167,301 per year for Data Scientist II.

The stated range covers base pay only. The role may also be eligible for bonus pay and/or allowances, and more details will be shared during interviews and selection.

The company is an equal opportunity employer.