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Entry Level Data Science Jobs in Dallas, OR (NOW HIRING)

HDR

Storage & Data Protection Engineer 1

Salem, OR · On-site

Required : • Bachelor's degree in Information Technology, Computer Science, or related field; or ... concepts. • Entry-level VMware or storage-related certification. Company : HDR is an employee ...

New

HDR

VCF Network Engineer 1

Salem, OR · On-site

Required : • Bachelor's degree in Information Technology, Computer Science, Engineering, or a ... data center networking, or software-defined networking environments. • Working knowledge of ...

New

CLEAR CHOICE DERMATOLOGY LLC

Histotechnician

Salem, OR · On-site

$32 - $48/hr

Highest science-related academic diploma or transcript required upon hire. * Associate degree or ... Seeking an entry level Histology Tech, MOHS tech or Medical Assistant aspiring to become Histotech.

CC DERMATOLOGY MSO LLC

Histotechnician

Salem, OR · On-site

$32 - $48/hr

Highest science-related academic diploma or transcript required upon hire. * Associate degree or ... Seeking an entry level Histology Tech, MOHS tech or Medical Assistant aspiring to become Histotech.

Ezee Fiber

Technician, Network Engineering

Salem, OR

$26.44/hr

This entry-level position is ideal for candidates looking to launch their careers in network ... Associate degree in computer science, Information Technology, Telecommunications, or a related ...

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Entry Level Data Science information

See Dallas, OR salary details

$10

$19

$26

How much do entry level data science jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level data science in Dallas, OR is $19.09, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.44 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What job categories do people searching Entry Level Data Science jobs in Dallas, OR look for? The top searched job categories for Entry Level Data Science jobs in Dallas, OR are:
What cities near Dallas, OR are hiring for Entry Level Data Science jobs? Cities near Dallas, OR with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Tableau Developer ( Entry Level )

Tableau Developer ( Entry Level )

SynergisticIT

Albany, OR

Full-time

Posted 21 days ago

Job description

SYNERGISTICIT knows the job market is tough, with nearly 600,000 tech layoffs in the past two years. This has flooded the market with many laid-off tech workers competing with current jobseekers. For entry-level jobseekers to get interviews and jobs, they need to stand out by having strong skills and knowledge of the latest technologies.
Since 2010, we've helped jobseekers stand out by preparing them with the skills and experience needed to excel in interviews and at work. At SynergisticIT, we don't just help you find a job-we help you build a career.
Open Positions We welcome candidates with all types of visas and U.S. citizens to apply.
We match clients with candidates who are ready to perform from day one. In today's economy, clients don't want to spend time and resources on training entry-level hires. That's why many experienced and new tech workers remain unemployed.
With remote work becoming common, clients can hire talent from anywhere. This makes it even more important for jobseekers to improve their skills and meet client expectations.
We understand the gap between what employers need and what jobseekers can offer. That's why we've helped thousands of candidates secure jobs with top companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more.
Who Should Apply? Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in IT.
If you get emails from our skill enhancement team and are not interested, please ask to be removed from their list. Their database is shared with the client servicing team.
please check the below links to see success outcomes of our candidates
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If you have the right skills and industry experience, please apply!
Interview Preparation Visit this link to prepare for interviews: https://www.synergisticit.com/interview-questions/
Required Skills for Java/Software Programmers

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Highly motivated, eager to learn, and curious about technology.
  • Experience with Java programming and understanding of the software development life cycle.
  • Project experience with the required skills.
  • Knowledge of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, Docker, Jenkins, and REST APIs.
  • Strong written and verbal communication skills.
Required Skills for Data Science/Machine Learning
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Project experience with relevant technologies.
  • Highly motivated, eager to learn, and curious about technology.
  • Experience with Java programming and understanding of the software development life cycle.
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
  • Strong written and verbal communication skills.
Preferred Skills For Data Science/Machine Learning roles: NLP, Text Mining, Tableau, Power BI, and Time Series Analysis.
Important Note
  • Clients require real-world experience and relevant skills, even for junior or entry-level positions. Additional skills and hands-on project work with clients are crucial for being selected.
  • If you lack the necessary skills or project experience, you can opt for skill enhancement programs to improve your qualifications.
  • No third-party candidates or c2c candidates, please.
  • Apply only through the job posting.
  • If you receive emails from our skill enhancement team and are not interested, please ask them to remove you from their list. Their database is shared with the client servicing team.

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