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Data Science Jobs in Oregon (NOW HIRING)

D in Data Science, Statistics, Applied Mathematics, Engineering, or similar quantitative discipline. * Core Technical Stack: Strong proficiency in SQL and Python, with deep expertise in the data ...

OR · On-site

Data Science & Machine Learning * Lead the design, development, deployment, and optimization of machine learning, predictive analytics, and AI-powered solutions. * Translate business challenges and ...

AI and Data Science Engineer III

Portland, OR · On-site

$121K - $145K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

OR · On-site

We are seeking a visionary leader to shape and drive Clinical Data Science strategy across our global clinical development portfolio. This role ensures the rigorous application of statistical ...

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) years of equivalent experience in machine learning and predictive modeling. * Proposed personnel ...

OR · On-site

This role focuses on engaging developer ecosystems in data engineering and analytical sciences. In this pivotal role, you will work directly with software solution providers, developers, and industry ...

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) years of equivalent experience in machine learning and predictive modeling. * Proposed personnel ...

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) years of equivalent experience in machine learning and predictive modeling. * Proposed personnel ...

OR · On-site

The VP, Development Data Science will build and lead a cross functional data centric matrix to accelerate drug development, support regulatory submissions and guide the Real-World Data (RWD) / Real ...

Scope and co-develop production-level data science projects with our customers across different industries and use cases * Help users discover and master the Dataiku platform via user training ...

We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

... on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT employment ...

OR · On-site

$135K - $160K/yr

Work with Data Science and other cross functional teams to define requirements, optimize data collection, build data assets, and deliver insights on business strategy and patient care * Develop ML ...

OR · On-site

The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision ...

AI and Data Science Engineer III

Portland, OR · On-site +1

$121K - $145K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

OR · On-site

Data Science Analyst II ----- This position is responsible for proactively identifying opportunities and developing algorithms, models, data structures and data products to facilitate production of ...

OR · On-site

The Risk Solutions Team employs data science methodologies (machine learning and statistical frameworks), a wide suite of data types, and modern technologies to develop solutions to inform decision ...

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Data Science information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Data Science jobs in Oregon? For Data Science jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Data Science jobs? Cities in Oregon with the most Data Science job openings:
Infographic showing various Data Science job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday


Job description

Ready to be a Titan?

As the Lead Data Scientist on our Operations data science team supporting the Finance organization, you will use machine learning, generative AI, and data-driven insights to drive financial planning, optimize spend, and inform strategic decision-making across ServiceTitan. Your work will directly impact some of ServiceTitan's most critical financial decisions and help shape how the company forecasts, plans, and allocates resources at scale.

This is a rare opportunity to blend machine learning and GenAI with strategic financial thinking at a fast-growing firm in a way that will be visible to top executives within ServiceTitan.

What you'll do:

  • Lead the design, development, and deployment of advanced machine learning, forecasting, optimization, and generative AI solutions that power financial planning, analysis, and decision-making

  • Partner closely with Finance leadership and other key business stakeholders to translate financial questions into rigorous data science problems

  • Build machine learning systems from the ground up and design scalable data science infrastructure that Finance teams can rely on

  • Strategically determine the most appropriate modeling approach (traditional ML, forecasting, optimization, or Generative AI) for each problem, and design experiments to evaluate competing approaches

  • Deliver cutting-edge forecasting, anomaly detection, and optimization expertise, driving best practices across financial modeling at ServiceTitan

  • Transform model outputs into actionable, executive-ready business recommendations

  • Champion and execute long-term strategic projects that improve how ServiceTitan plans and operates financially

  • Collaborate closely with engineering and product teams to seamlessly deploy models into production, ensuring scalability and performance

  • Mentor data scientists on the team and elevate the technical bar across forecasting, optimization, and GenAI work

  • Invent bold and creative solutions to current and future business problems

What you'll bring:

  • Experience: 8+ years as a data scientist developing predictive business models, with at least 5 years of experience in time series forecasting, anomaly detection, and/or optimization. Proven track record of delivering impactful, production-grade solutions.

  • Education: MS/Ph.D in Data Science, Statistics, Applied Mathematics, Engineering, or similar quantitative discipline.

  • Core Technical Stack: Strong proficiency in SQL and Python, with deep expertise in the data science ecosystem (e.g., PyTorch, Transformers, scikit-learn, XGBoost/LightGBM, scipy, statsmodels).

  • Forecasting & Optimization: Deep experience building and deploying forecasting models and resource-constrained optimization models in production environments.

  • Generative AI & Agents:

  • Demonstrated experience applying Generative AI to real business problems, including practical experience developing and testing GenAI solutions

  • Experience building Agentic Workflows and implementing RAG architectures

  • Statistical Rigor: Strong foundation in statistics, including hypothesis testing, experimental design, and causal inference to ensure the reliability of analytical insights and model impact evaluation.

  • Cloud Infrastructure: Hands-on experience with cloud platforms, with a strong preference for Microsoft Azure (e.g., Azure AI Studio, Foundry).

  • Business Acumen: Ability to combine model results with clear business understanding to create actionable recommendations, particularly in financial or operational contexts.

  • Soft Skills: Excellent communication skills, including translating complex technical concepts into actionable insights for finance and executive stakeholders. Proactive and collaborative mindset.

  • Passion for discovery, problem solving, and practical business outcomes in partnership with finance and engineering leadership.

Preferred experience:

  • Experience supporting Finance, FP&A, or related functions with data science solutions

  • Experience building and deploying MCPs

Be Human With Us:
Being human isn't about checking every box on a list. It's about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we're solving. We're in this together. Come be human, with us.


Use of AI Technology:

We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.


What We Offer:

When you join our team, you're not just accepting a job. You're making a career move. Here's how we'll support you in doing some of the most impactful work of your career:

  • Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
  • Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
  • Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws.For candidates in the United States, the good faith salary ranges estimate for this role is Zone 1: $198,200 USD - $297,400 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA Zone 2: $185,300 USD - $277,900 USD Applicable for: All other US locations. International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.