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Data Science Jobs in Dallas, OR (NOW HIRING)

Hp

Principal Data Solutions Architect

Corvallis, OR

$147K - $230K/yr

Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or ... Data Analysis * Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems

FocusKPI

Marketing Operations Analyst

Salem, OR

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

A-dec, Inc.

AI Engineer, Principal

Newberg, OR · On-site

Mentor senior engineers, data scientists, and product teams on applied AI design patterns and best practices * Translate complex AI concepts into clear recommendations for senior leaders and business ...

A-dec, Inc.

AI Engineer, Principal

Newberg, OR · On-site

Mentor senior engineers, data scientists, and product teams on applied AI design patterns and best practices * Translate complex AI concepts into clear recommendations for senior leaders and business ...

Cadmus, LLC

Technical Project Manager (TPM)

Salem, OR

$95K/yr

You will work with data engineering, analytics, machine-learning, and data science teams to deliver initiatives that support the enterprise's data needs. You will function as a TPM authority and team ...

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All JobsData Science JobsData Science Jobs in Dallas, OR

Data Science information

See Dallas, OR salary details

$37.6K

$123K

$196.9K

How much do data science jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data science in Dallas, OR is $122,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,200.00 per year, depending on experience, location, and employer.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Dallas, OR? The most popular types of Data Science jobs in Dallas, OR are:
What are popular job titles related to Data Science jobs in Dallas, OR? For Data Science jobs in Dallas, OR, the most frequently searched job titles are:
What cities near Dallas, OR are hiring for Data Science jobs? Cities near Dallas, OR with the most Data Science job openings:
Data Science jobs near you
Data Science and Engineering Manager

Data Science and Engineering Manager

Precision Analytical Inc

Mcminnville, OR • On-site

$163K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Be an early applicant

Job description

Data Science and Engineering Manager

Precision Analytical (PA) is the creator of the DUTCH Test, an innovative hormone test that creates better tools for healthcare professionals to explore hormone issues with their patients. PA exists to make it easier for patients and their healthcare providers to find answers to complex clinical questions. We are fully committed to our mission of providing the best diagnostic tools in functional medicine.

This is a remote position. Our main office is in McMinnville, Oregon. We do allow for out-of-state candidates who are in the states we currently have employees in. This includes Alabama, Arizonia, Florida, Illinois, Indiana, Louisiana, Massachusetts, Michigan, Montana, New Jersey, North Carolina, Texas, Washington, and Wisconsin.

Compensation & Benefits

At PA, we base our pay ranges on the market median of similar jobs, as determined by third-party salary benchmark surveys. Your individual pay will vary based on skills, experience, and internal equity. During your initial interview with the Talent partner, you can expect to have an open discussion about your pay expectations.

With a career at PA, you get:

Market-based competitive wage

Bonus potential

401(k) with employer contribution

Medical, dental and vision insurance

Company-paid life insurance

Wellness program

Onsite gym

Paid time off

Holiday & Floating holiday

Casual work environment

Employee assistance program

Free DUTCH Tests

…and more!

Job Summary

The Data Science and Engineering Manager will lead a team to drive data initiatives and innovation. They will develop strategies to use advanced data science techniques, manage data infrastructure, and ensure best practices in data management. Working with various teams and stakeholders, the Manager will integrate data solutions into business operations and promote data-driven decision-making. Their focus on continuous improvement will enhance business performance and create new data products.

This role reports to the VP of Technology.

Major Duties and Responsibilities:

Leadership and Strategy:

  • Lead and manage the Data Science and Engineering team, fostering a culture of collaboration and innovation.
  • Develop and implement data science vision and strategy aligned with business goals.
  • Oversee the development and execution of projects, ensuring timely delivery and high-quality results.
  • Mentor and guide team members, promoting professional growth and development.

Technical Expertise:

  • Utilize advanced data science techniques, including machine learning, predictive modeling, and data mining, to extract actionable insights.
  • Oversee the design, development, and maintenance of data infrastructure, ensuring scalability and reliability.
  • Implement best practices for data management, data governance, and data security.
  • Collaborate with cross-functional teams to integrate data solutions into business processes.
  • Direct the (external) source system engineers and provide software architecture oversight to ensure seamless integration.

Stakeholder Engagement:

  • Partner with business stakeholders to understand their needs and provide data-driven solutions.
  • Communicate complex data insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • Drive the adoption of data-driven decision-making across the organization.

Innovation and Continuous Improvement:

  • Create and improve the delivery of embedded analytics solutions to end users, helping enhance business processes.
  • Stay updated with the latest trends and advancements in data science and engineering.
  • Identify opportunities for process improvements and implement innovative solutions.
  • Lead the development of new data products and services to enhance business performance.

Qualifications:

  • Bachelor’s degree in data science, computer science, engineering, or a related field, master’s degree preferred.
  • Proven experience in a leadership role within data science and engineering.
  • Strong technical skills in programming languages (e.g., Python, R, SQL) and data tools (e.g., Snowflake).
  • Excellent problem-solving and analytical abilities.
  • Strong communication and interpersonal skills.
  • Experience with cloud platforms (e.g., AWS, Azure) is a plus.

Work Environment:

This position is in an office (or a home) environment with frequent use of a computer and related hardware. A person must be able to stand and/or sit; see, hear and talk; use hands to type, handle or feel tools or controls; use hands and arms to reach. Occasionally lifting/moving up to 30lbs is also required.

In addition, this position may require a person to travel via car, airplane, and other modes of transportation to various sites including Precision Analytical locations, stores or vendor locations, training or meeting venues, or conferences.

EEO Statement

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.