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Entry Level Data Scientist Jobs in Bend, OR (NOW HIRING)

Entry Level Data Scientist information

See Bend, OR salary details

$48.5K

$174.1K

$256.9K

How much do entry level data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level data scientist in Bend, OR is $174,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,800.00 and $179,300.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

Can an entry level data scientist be entry-level?

Yes, an entry-level data scientist position is designed for individuals starting their careers in data science, often requiring minimal professional experience and foundational skills in programming, statistics, and data analysis tools. These roles typically focus on learning and developing skills such as Python, R, SQL, and machine learning basics under supervision.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve job prospects.
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What cities near Bend, OR are hiring for Entry Level Data Scientist jobs?

Cities near Bend, OR with the most Entry Level Data Scientist job openings:

Infographic showing various Entry Level Data Scientist job openings in Bend, OR as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $174,094 per year, or $83.7 per hour.

Entry-Level Pharmaceutical Manufacturing Technician

Lonza

Bend, OR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday

New


Lonza rating

8.3

Company rating: 8.3 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical


Job description

The actual location of this job is in Bend, Oregon (USA). Relocation assistance is available for eligible candidates and their families, if needed.

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of.

Lonza Pharma & Biotech has an opening for an experienced Pharmaceutical Manufacturing Technician to join their Early Phase Clinical Manufacturing team. This role offers the outstanding opportunity to contribute to world-class pharmaceutical innovations, while working in a collaborative and inclusive environment. If you are ambitious and driven by the desire to make a meaningful impact, we want you to join our mission to improve lives.

What You Will Get:

  • Shape the future of medicine by building new pharmaceutical products from clinical scale to full manufacturing.
  • Grow your technical skills by taking charge of equipment lifecycles and working with expert teams in quality and engineering.
  • Work in a safe, high-quality cGMP space that values your personal growth and new ideas.
  • Day-One Insurance: Life, disability, and comprehensive health, dental, and vision insurance options
  • 401k Match: 100% match up to 6% of your salary, plus an extra automatic company contribution
  • Tuition reimbursement program
  • Lonza bonus program: Performance-linked variable pay plan that rewards yearly company and individual success

What You Will Do:

Manufacturing Operations
  • Assist in production: Help manufacture clinical trial materials to support new pharmaceutical product development.
  • Follow guidelines: Safely run production equipment and document your work according to standard procedures and Good Documentation Practices (GDP).
  • Learn the equipment: Train to become proficient in assembling, operating, cleaning, and troubleshooting manufacturing machinery.
  • Maintain workspaces: Perform routine cleaning of production areas and assist technicians with equipment maintenance and calibration.
  • Support new projects: Participate in new product transfers and share hands-on feedback with the team.
Technical & Engineering Support
  • Help with setup: Assist engineers with the installation, startup, and testing of new manufacturing equipment.
  • Review process data: Help gather and organize production data to support project goals and team decisions.
  • Spot improvements: Learn the workflow to help identify simple ways to make daily operations smoother and more efficient.
Compliance & Documentation
  • Draft documents: Help write and update simple work instructions, training guides, and basic technical reports.
  • Maintain standards: Ensure all daily tasks strictly follow safety rules and cGMP (Current Good Manufacturing Practice) regulations.
  • Report issues: Assist with basic investigations into equipment or process variations.
  • Communicate clearly: Share daily updates and technical findings clearly with your team members and supervisors.

What We Are Looking For:

  • High School Diploma or GED equivalent.
  • Thrive in fast-paced, collaborative team settings to hit daily production targets.
  • Dedicated to lean principles, quality control, and rapid adaptation to new manufacturing processes.
  • Strictly adhere to OSHA and company safety guidelines while managing hazardous materials and standard operating procedures (SOPs).
  • Fully comfortable operating in controlled environment while wearing required Personal Protective Equipment.
  • Capable of routine heavy lifting, material handling, and active equipment operation.

Join us and be part of a team that drives outstanding pharmaceutical innovations and makes a significant difference in people's lives!

Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.


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