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Python Data Analyst Jobs in Remote, OR (NOW HIRING)

AI Agent ML Engineer

OR

$165K - $190K/yr

Analyze, map, and document business processes; translate process requirements into agentic ... Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

Senior Lead IT Engineer

OR · On-site +1

$132K - $176K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Lead root cause analysis and resolution of complex infrastructure and agent-related incidents.

... data privacy regulations). * Remain actively hands on in designing and building AI products and ... Build and review AI agents using Python, LLM APIs, and modern agent frameworks that analyze ...

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Python Data Analyst information

See Remote, OR salary details

$34K

$82.6K

$135.9K

How much do python data analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for python data analyst in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
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Infographic showing various Python Data Analyst job openings in Remote, OR as of June 2026, with employment types broken down into 3% As Needed, 39% Full Time, 47% Part Time, 10% Contract, and 1% Nights. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $82,559 per year, or $39.7 per hour.

$165K - $190K/yr

Other

Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world-from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.


Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb's departments. This hybrid role blends hands-on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.

Key Responsibilities
  • Architect and develop multi-agent systems for process automation and intelligent decision-making.
  • Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, AutoGPT, or similar.
  • Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.
  • Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions.
  • Collaborate with business stakeholders to identify opportunities for agent-driven process improvement.
  • Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models.
  • Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.
  • Optimize models for scalability, latency, and accuracy in production environments.
  • Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards.
  • Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.
  • 3+ years' experience in AI/ML engineering, agent development, process engineering, or related roles.
  • Proven track record of building and deploying production-grade AI agents and ML models.
  • Deep expertise in at least three of the following: Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI.
  • Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools.
  • Experience in business process analysis, process mapping, and workflow automation.
  • Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate).
  • Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals.
  • Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics.
  • Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000 and $190,000.The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors. U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance,  a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.

Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.

To learn more please read Bausch + Lomb's Job Offer Fraud Statement.

Our Benefit Programs: Employee Benefits: Bausch + Lomb

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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