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High Autonomy Jobs in Oregon (NOW HIRING)

Senior AI Engineer, Real-World Data

OR · On-site +1

$122K - $161K/yr

This is a senior individual contributor role with high autonomy and end-to-end ownership from design through deployment. PRIMARY RESPONSIBILITIES * Design, build, and deploy agent-based AI systems ...

Enterprise Account Executive

Portland, OR · On-site

$100K - $110K/yr

... high autonomy and ownership over your success. How You'll Be Measured This is a quota carrying role measured by revenue attainment. Deal sizes range from $75K to $5M+ with an average 30-day sales ...

Strategic Growth Manager

Portland, OR · On-site

$100K - $110K/yr

... high autonomy and ownership over your success. How You'll Be Measured This is a quota carrying role measured by revenue attainment. Deal sizes range from $75K to $5M+ with an average 30-day sales ...

Layout Designer

Portland, OR · On-site

$74K - $118K/yr

This is a high-autonomy role that blends advanced 3D modeling with meticulous spatial coordination. You will work within a multi-disciplinary team to translate operational requirements into high ...

Contracts Operations Analyst

OR · On-site +1

$68K - $83K/yr

... autonomy and high visibility across the business. You'll manage the full contract lifecycle: reviewing proposals, negotiating legal terms ( governing law, termination clauses, liability caps - the ...

Account Executive

OR · On-site +1

Our team is low-ego, high-agency, and high-autonomy, with a significant amount of combined experience in cryptography, security, and low-level systems. We're building the trustless, programmable ...

High autonomy: comfortable owning issues end-to-end during US hours while the EU team is offline, with sound judgment on when to escalate vs. resolve * Experience being responsible for maintaining ...

Manager, Strategic Resolutions

OR · On-site +1

$100K - $138K/yr

Maintain a rigorous hold-accountability framework, ensuring the team acts with high autonomy to deliver timely, effective, and compliant resolutions. Cross-Functional Accountability & Root-Cause Re ...

Senior Analyst, Strategic Analytics

OR · On-site +1

$85K - $106K/yr

High autonomy and self-sufficiency - you thrive in fast-moving environments where context is incomplete and priorities shift * Experience working in messy data environments where you have had to ...

In this high-autonomy, high-trust role, you will act as the strategic and analytical backbone behind our field engineering motions. You will prioritize the right initiatives across our strategic ...

OR · On-site

In this high-autonomy, high-trust role, you will act as the strategic and analytical backbone behind our field engineering motions. You will prioritize the right initiatives across our strategic ...

Senior Account Manager

OR · On-site +1

$100K - $130K/yr

Ability to operate with high autonomy in a new or existing market * A sense of urgency and desire to rapidly accelerate results and career with Zayo Group Sales * Possesses excellent interpersonal ...

Mechanical Designer

Hillsboro, OR · On-site

$74K - $99K/yr

This is a high-autonomy role that blends hands-on fieldwork with advanced 3D modeling. You will work within a multi-disciplinary team to translate engineering concepts into high-quality construction ...

This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You'll ...

Showing results 41-60

High Autonomy information

See Oregon salary details

$21.9K

$115.4K

$274.3K

How much do high autonomy jobs pay per year?

As of Aug 17, 2026, the average yearly pay for high autonomy in Oregon is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,860.00 and $153,102.00 per year, depending on experience, location, and employer.

What is high autonomy?

A High Autonomy job is a role where employees have significant independence in making decisions, managing tasks, and organizing their work. These roles typically require self-motivation, problem-solving skills, and the ability to prioritize responsibilities without constant supervision. High Autonomy jobs are common in fields like remote work, research, consulting, and leadership positions. They often provide flexibility in work hours and methods, allowing individuals to optimize productivity and efficiency. However, they also require accountability and strong time-management skills to ensure goals are met effectively.

What does high autonomy mean in a job context?

High autonomy in a job context refers to a work environment where employees have significant independence and control over how they perform their tasks. It means workers can make decisions about their schedules, methods, and priorities with minimal supervision. This type of job often encourages creativity, problem-solving, and personal responsibility, leading to higher job satisfaction and motivation. High autonomy roles are commonly found in creative, research, and leadership positions, but can be present in various industries.

How does a high-autonomy role typically structure collaboration and communication with the rest of the team?

In high-autonomy roles, professionals are trusted to take initiative and manage their own tasks, but effective collaboration and communication remain essential. Team members often use asynchronous tools like project management software, shared documents, and regular check-ins to stay aligned without micromanagement. While you may have significant independence in decision-making and time management, you’ll also participate in team meetings or stand-ups to share progress and coordinate on shared goals. This structure encourages both personal responsibility and open communication, fostering a supportive yet flexible work environment.

What are the key skills and qualifications needed to thrive in a high-autonomy role, and why are they important?

To thrive in a high-autonomy role, you need strong self-management skills, subject matter expertise, and the ability to independently set and achieve goals, typically supported by relevant education or experience in the field. Familiarity with project management tools, collaboration platforms, and time-tracking software is often necessary for remote coordination and task organization. Exceptional communication, proactive problem-solving, and accountability are vital soft skills that help individuals excel when working with minimal supervision. These abilities are important because they ensure productivity, maintain high standards, and drive results in environments that demand independent decision-making.

What is the difference between High Autonomy vs Data Analyst?

AspectHigh AutonomyData Analyst
Required CredentialsVaries; often self-taught or specialized trainingBachelor's degree in data science, statistics, or related field
Work EnvironmentIndependent, flexible, often remoteCollaborative, office or remote, team-based
Industry UsageAcross multiple industries for independent decision-makingPrimarily in data-driven roles within organizations
Search & Comparison IntentUnderstanding roles with high independenceUnderstanding data analysis roles and skills

High Autonomy roles focus on independent decision-making and flexibility, often requiring diverse skills and self-management. Data Analysts typically work within teams analyzing data to inform business decisions, with more structured environments and specific technical credentials. While both roles involve analytical skills, High Autonomy emphasizes independence, whereas Data Analysts focus on data interpretation within organizational settings.

What are popular job titles related to High Autonomy jobs in Oregon?

For High Autonomy jobs in Oregon, the most frequently searched job titles are:

Infographic showing various High Autonomy job openings in Oregon as of August 2026, with employment types broken down into 68% Full Time, 29% Part Time, and 3% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $115,433 per year, or $55.5 per hour.

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Portland, OR

Full-time

Re-posted 29 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
  • 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
  • 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individu...


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