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Data Science Manager Jobs in Bend, OR (NOW HIRING)

This is an exciting opportunity to apply machine learning, data science, and cheminformatics ... Collaborate closely with R&D scientists, chemists, process engineers, product managers, data ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics ... Collaborate closely with R&D scientists, chemists, process engineers, product managers, data ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics ... Collaborate closely with R&D scientists, chemists, process engineers, product managers, data ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics ... Collaborate closely with R&D scientists, chemists, process engineers, product managers, data ...

Bachelor's degree in Supply Chain Management, Business Analytics, Data Science, Statistics, Industrial Engineering, Operations Research, or a highly quantitative field. A Master's degree or ...

Collaborating with computational science teams to improve data management tools * Evaluating instruments, equipment, processes, and systems to improve safety, quality, and performance * Communicating ...

Collaborating with computational science teams to improve data management tools * Evaluating instruments, equipment, processes, and systems to improve safety, quality, and performance * Communicating ...

... science teams to improve data management tools Evaluating instruments, equipment, processes, and systems to improve safety, quality, and performance Communicating technical information to internal ...

... scientific expertise, and process excellence and helps their customers to deliver new and ... Oversee setup of on-site data center supporting manufacturing systems and acting as a secondary ...

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Data Science Manager information

See Bend, OR salary details

$32.7K

$102.5K

$181.5K

How much do data science manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data science manager in Bend, OR is $102,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $132,400.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Bend, OR?

The most popular types of Data Science jobs in Bend, OR are:

What job categories do people searching Data Science Manager jobs in Bend, OR look for?

The top searched job categories for Data Science Manager jobs in Bend, OR are:

What cities near Bend, OR are hiring for Data Science Manager jobs?

Cities near Bend, OR with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Bend, OR as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $102,488 per year, or $49.3 per hour.

Applied R&D Data Scientist

Bend, OR • On-site, Remote

Lonza
Biotechnology Research and Development • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Lonza rating

8.3

Company rating: 8.3 out of 10

Based on 42 frontline employees who took The Breakroom Quiz


Job description

Applied R&D Data Scientist
Join Lonza's Advanced Synthesis division and help transform scientific data into powerful AI-enabled solutions that accelerate innovation in life sciences. This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global organization.
What you will get:
A competitive compensation. In addition, below you will find a comprehensive summary of the benefits package we offer:
  • Performance-related bonus.
  • Medical, dental and vision insurance.
  • 401(k) matching plan.
  • Life insurance, as well as short-term and long-term disability insurance.
  • Employee assistance programs.
  • Paid time off (PTO).

Compensation for this role will be determined by the candidate's qualifications, skills, experience, and relevant knowledge.
What you will do:
  • Develop and apply machine learning, statistical, AI, and cheminformatics solutions to address high-priority R&D challenges across chemical synthesis, process development, analytical sciences, and bioconjugation.
  • Transform structured and unstructured scientific data into actionable insights, predictive models, and decision-support tools that enhance scientific understanding and experimental efficiency.
  • Build, validate, and optimize predictive and analytical models for applications such as reaction prediction, process optimization, impurity analysis, and experimental design.
  • Design and evaluate innovative AI-enabled capabilities, including generative AI, semantic search, information extraction, and scientific knowledge systems.
  • Create reproducible data pipelines, feature engineering workflows, and model evaluation frameworks while ensuring scientific rigor and appropriate treatment of uncertainty and model limitations.
  • Collaborate closely with R&D scientists, chemists, process engineers, product managers, data engineers, and IT teams to deliver impactful technical solutions and support implementation.
  • Drive projects independently from problem definition through to validated outcomes, contributing to the growth of Lonza's data science and AI capabilities within Advanced Synthesis.

What we are looking for:
  • Bachelor's or advanced degree in a relevant quantitative or scientific discipline, with demonstrated experience applying data science or machine learning to chemistry, molecular, pharmaceutical, or related scientific R&D problems.
  • Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to solve complex real-world scientific or technical problems.
  • Strong programming skills in Python and proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or similar tools.
  • Working knowledge of chemistry and chemical data, including familiarity with chemical structures, reactions, properties, and experimental datasets.
  • Experience developing, validating, and interpreting predictive models while effectively communicating results, assumptions, uncertainty, and limitations.
  • Proven ability to work independently in ambiguous technical environments, identify practical solutions, and deliver high-quality outcomes with scientific rigor.
  • Strong collaboration and communication skills, with the ability to work effectively across multidisciplinary teams and engage both technical and non-technical stakeholders.

About Lonza
At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone's ideas, big or small, have the potential to improve millions of lives, and that's the kind of work we want you to be part of.
Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you're ready to help turn our customers' breakthrough ideas into viable therapies, we look forward to welcoming you on board.
Ready to shape the future of life sciences? Apply now.

What Lonza employees say

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About Lonza

Sourced by ZipRecruiter

Industry

Biotechnology research and development and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Bern, KS, US