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Temporary Data Scientist Machine Learning Jobs in Oregon

Machine Learning Data Scientist

Lake Oswego, OR · On-site

$122.64K - $165.47K/yr

Essential Skills & Experience * 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models. * Proficiency in Python and SQL for data ...

Data Scientist Consultant I or II* Team, Scope & Environment (Concise) * The AI Risk, Governance ... Apply standard best practices to develop statistical and machine learning techniques to build ...

We also want to see a passion for machine learning and research. Your goal will be to help our ... Scientist or Data Analyst Experience in data mining Understanding of machine learning and ...

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 ...

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 ...

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 ...

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 ...

OR · On-site

... Machine Learning Engineer, or Data Scientist, with a proven record of delivering ML/AI models to production. * Demonstrated experience applying machine learning and statistical modeling techniques to ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

OR · On-site

... Machine Learning Engineer, or Data Scientist, with a proven record of delivering ML/AI models to production. * Demonstrated experience applying machine learning and statistical modeling techniques to ...

We have an exciting opportunity for a Data Scientist within our data product space ... This individual will be focused on designing, building, and deploying machine learning models and ...

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... learning, data science, or AI engineering Strong programming skills in Python (NumPy, Pandas ...

... in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and ...

... in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and ...

OR · On-site

$113K - $188K/yr

Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public ... Design and develop machine learning models and analytical approaches to support search, discovery ...

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 ...

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 ...

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Temporary Data Scientist Machine Learning information

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

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary Data Scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What does a Temporary Data Scientist specializing in Machine Learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Oregon? The most popular types of Data Scientist Machine Learning jobs in Oregon are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Oregon? For Temporary Data Scientist Machine Learning jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Temporary Data Scientist Machine Learning jobs? Cities in Oregon with the most Temporary Data Scientist Machine Learning job openings:
Machine Learning Data Scientist

Machine Learning Data Scientist

Trimble

Lake Oswego, OR • On-site

$122.64K - $165.47K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago


Trimble rating

8.2

Company rating: 8.2 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

36th of 137 rated electronics manufacturers


Job description

Drive Innovation as our Next Data Engineer / Scientist (Predictive Analytics)!

Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for a passionate problem-solver like you to leverage data to drive meaningful business outcomes and contribute to the success of our data-driven initiatives! You will unleash your potential by designing systems that improve customer retention for SketchUp, turning complex datasets into actionable strategies that move the world forward.

About Us:

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.

AECO: The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations.

What Makes This Role Great:

In this role, you will be at the forefront of developing predictive machine learning models, directly influencing customer retention for our SketchUp product and shaping the future of how we understand and engage with our global user base.

Key Exciting Responsibilities

  • Design and deploy sophisticated ML models, such as XGBoost and logistic regression, to proactively identify and mitigate churn risk.

  • Translate complex model outputs into business-friendly insights that drive targeted go-to-market retention strategies.

  • Engineer impactful features from raw customer data to develop advanced metrics for tracking global engagement and activity.

  • Architect automated processes and algorithms to cleanse and integrate massive datasets for high-level customer segmentation and model training.

  • Optimize churn prediction performance using advanced metrics like AUC and lift to ensure maximum business impact.

Essential Skills & Experience

  • 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models.

  • Proficiency in Python and SQL for data manipulation and algorithm development.

  • Strong grasp of data engineering concepts including data lakes, ETL tools, and columnar formats.

  • Experience in statistical modeling for churn analysis, customer segmentation, and cohort analysis.

  • Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred).

Bonus Points For:

  • Experience with demographic and firmographic data integration.

  • Familiarity with BI tools and cloud-based data environments.

  • Advanced academic research in predictive analytics or related fields.

Logistics:

Location: In Office: Westminster, CO

Travel Requirement: Minimal

Why You'll Love Working With Us

At Trimble, we're not just a company that "does good"-we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.

You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste.

Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We're a company of "visionary pragmatists" who think boldly and build things that work.

Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."

Data Engineer, Data Scientist, Machine Learning, Churn Prediction, Python, SQL, Predictive Analytics, SketchUp, ETL, XGBoost, Data Modeling

Compensation: Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.

Hiring Range

$122,642.00-$165,466.00

Pay Rate Type

Salary

Bonus Eligible?

Yes

Commission Eligible?

No


Benefits: Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.


How to Apply: Please submit an online application for this position by clicking on the 'Apply Now' button located in this posting.


Application Deadline: Trimble accepts applications on an ongoing basis until the position is filled.

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values-Belong, Innovate, and Grow-we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at https://investor.trimble.com, under "Corporate Governance."

Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.

Trimble's Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.


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