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Data Science Jobs in Salem, OR (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Salem, OR · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Stem Xpert

Data Analyst

Salem, OR

Data Analyst Location : Salem Oregon duration : 6+months : * Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc.

Element Materials Technology

Data Processor

Salem, OR · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Bespoke Labs

Data Engineer

Salem, OR · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

A-dec, Inc.

Scientist, Principal

Newberg, OR · On-site

Serve as a senior technical authority, translating complex physical principles, models, and data ... Minimum of 20 years of experience in research, applied science, or product development (or Ph.D ...

A-dec, Inc.

Scientist, Principal

Newberg, OR

Serve as a senior technical authority, translating complex physical principles, models, and data ... Minimum of 20 years of experience in research, applied science, or product development (or Ph.D ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Willamette University

Artist Associate

Salem, OR · On-site

$62.43/hr

... in data science and computer science. Willamette University provides a high-value and comprehensive benefits package to eligible employees. Our Benefits Summary includes options for health, dental ...

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All JobsData Science JobsData Science Jobs in Salem, OR

Data Science information

See Salem, OR salary details

$37.8K

$123.8K

$198.1K

How much do data science jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data science in Salem, OR is $123,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,100.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Salem, OR? The most popular types of Data Science jobs in Salem, OR are:
What are popular job titles related to Data Science jobs in Salem, OR? For Data Science jobs in Salem, OR, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Salem, OR look for? The top searched job categories for Data Science jobs in Salem, OR are:
What cities near Salem, OR are hiring for Data Science jobs? Cities near Salem, OR with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Salem, OR as of July 2026, with employment types broken down into 75% Full Time, 17% Part Time, and 8% Nights. Highlights an 100% In-person job distribution, with an average salary of $123,751 per year, or $59.5 per hour.

Yield Development Engineering Manager-Strategic Programs

INTEL

Lafayette, OR • On-site

$131K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers

Job description

Job Description

The Role and Impact
We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment.


You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity.


As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations.
Key Responsibilities
Strategic Leadership and Transformation:

  • Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows.

  • Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems.

  • Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites.

AI-Driven Productivity and Decision Intelligence:

  • Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis.

  • Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems.

  • Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations.

Operational Excellence and Yield Performance:

  • Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets.

  • Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply.

  • Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence.

Defect Metrology and Systems Leadership:

  • Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture.

  • Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation.

  • Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements

Program Execution and Stakeholder Influence:

  • Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams.

  • Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution.

  • Influence senior stakeholders and executives to align investments, priorities, and organizational focus.

Organization and Talent Leadership:

  • Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning.

  • Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency.

  • Champion a shift from individual based to scalable, system-driven excellence.


Qualifications
Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Other Locations
US, Phoenix
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00
*Salary range dependent on a number of factors including location and experience
Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
Position of Trust
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

What Intel employees say

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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