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Weekend Data Science R Jobs in Vancouver, WA (NOW HIRING)

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Data Scientist 4

Tualatin, OR · On-site

$150 - $200/hr

Bachelor's degree in engineering, quality, computer science, or related field; Master's preferred ... Proficiency in Python, R, MATLAB, or similar programming environments. * Knowledge of Lean Six ...

Showing results 21-40

Weekend Data Science R information

See Vancouver, WA salary details

$39.3K

$128.5K

$205.7K

How much do weekend data science r jobs pay per year?

As of Sep 9, 2026, the average yearly pay for weekend data science r in Vancouver, WA is $128,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $142,400.00 per year, depending on experience, location, and employer.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What are the most commonly searched types of Data Science R jobs in Vancouver, WA?

The most popular types of Data Science R jobs in Vancouver, WA are:

Energy Supply Data Scientist (I&II) (PORTLAND)

Portland, OR • On-site

PacifiCorp
Utilities • 5 - 10K employees

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PacifiCorp rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Energy Supply Data Scientist (I&II)
location: PORTLAND, OR, US, 97232
Company: PacifiCorp
POWER YOUR GREATNESS

PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability, inclusion and belonging.

General Purpose

PacifiCorp serves 2.1 million customers across six western states and, as of May 1, 2026, became the first participant in the Extended Day-Ahead Market (EDAM) alongside the California ISO. Committing generation and scheduling transmission a day in advance across an optimized regional footprint produces operational and market data at a volume and granularity beyond what conventional analysis can support. This position exists to convert that data into better decisions about how PacifiCorp bids, commits its generation fleet, schedules transmission, and manages its position between the day-ahead and real-time markets.

The incumbent provides technical support on complex and business-critical projects across Energy Supply Management, working with loads and weather, battery storage, renewable, and thermal generation performance, transmission availability and congestion, market prices, bids and settlements. The impact of the role is measured in the quality of decisions it improves: explaining and reducing deviations between day-ahead positions and real-time outcomes, strengthening load and generation forecasts, quantifying the cost of resource and transmission choices, and delivering production-grade analytics that generation operators, traders and planners rely on daily. Better information at these decision points lowers net power costs for customers, supports reliable operations, and substantiates PacifiCorp’s positions in regulatory and market policy forums.

This position is available at multiple levels. Applicants will be considered for the level that best matches their education and experience.

Responsibilities

Responsibilities of the Data Scientist I & II include the following:

  • Create data mining models to identify and mine data from reliable internal and external sources.
  • Develop and apply custom data models and algorithms to large data sets.
  • Design tools and testing models to ensure data accuracy.
  • Perform statistical reporting and create data analysis methodologies to identify trends in large data sets.
  • Collaborate with grid operations, finance and regulatory teams to analyze problems, identify issues, innovate and deliver solutions consistent with schedules established and improve business outcomes.
  • Provide technical expertise across business to support functions such as load forecast, energy day ahead trading.
  • Research and apply emerging data science techniques to develop tools and analysis for informed business decisions in Energy Supply Management.
  • Create and present reports with detailed findings, recommendations and solutions.
  • Glean insights from the data to inform and improve market participation, near- and long-term resource planning, energy trading strategies.
  • Gather, document and manage business use cases and business requirements.
  • Support data literacy and scripting knowledge development across the team.
  • Participate in government, industry and other applicable associations or work groups which have the ability to influence or set policy impacting the future of our utility.
Requirements

Requirements of the Data Scientist I position include the following:

  • Bachelor’s degree in Engineering, Analytics, Data Science, Math, Statistics, Physics or related field; or the equivalent combination of education and experience.
  • Knowledge of C, C++, Java, JavaScript, Python, R, SQL
  • Knowledge of platforms such as MapReduce, Hadoop, Hive, MySQL, etc
  • Proven ability to connect the dots from the data to the business solution
  • Proficient technical writing and public speaking skills
  • Strong problem-solving skills
  • Familiarity with machine learning techniques
  • Strong problem-solving skills.
  • Ability to work cross functionally and support multiple departments.
  • Knowledge of industry best practices for data science and data governance.

In addition to the above, the Data Scientist II requirements include the following:

  • A minimum of 3 years of related professional experience.
  • Experience using C, C++, Java, JavaScript, Python, R, SQL
  • Experience using platforms such as MapReduce, Hadoop, Hive, MySQL, etc
  • Experience with business intelligence and data analytics tools such as Power BI and Tableau
  • Hands-on experience with MLOps practices, including CI/CD pipelines, model deployment, monitoring, and versioning.
  • Experience with cloud services and platforms like AWS, GCP, or Azure for deploying and managing ML models, specifically using Azure Databricks, Azure Machine Learning Studio, Azure Data Factory
  • Experience using Azure DevOps and Git for version control
  • Experience in story-telling through the use of data
Preferences
  • Master’s in data science or related technical field.
  • Understanding of generation dispatch, transmission, and organized wholesale markets
  • Understanding of business intelligence and data analytics tools such as Power BI and Tableau
Benefits

At PacifiCorp, we understand that living a healthy lifestyle isn’t just about your physical health — your mental, financial, and social wellbeing also play an important role. That’s why we offer a wide range of benefits designed to help you live a more balanced lifestyle.


Our benefits include:

  • Medical, dental, and vision insurance
  • 401k with match fixed contributions, including a Roth and saving option. For union employees, matching contributions vary by union. For nonunion, PacifiCorp makes a fixed contribution equal to 4% of your eligible pay each year for new hires. In addition, PacifiCorp matches 100% of the first 6% you contribute.
  • Life insurance
  • Additional voluntary benefits, including pet insurance
  • Tuition Assistance
  • Mass Transit Pass for employees in our Portland and Salt Lake City Offices.


Work Life Balance

  • Generous Paid Time Off (PTO) - Time off varies by employee type (Union or Non-Union)
  • Paid short-term disability leave and long-term disability insurance
  • Paid Parental Leave
  • Paid Bereavement Leave
  • Employee Assistance Program supporting mental and emotional wellbeing


For more information, please visit: https://careers.pacificorp.com/content/New-Benefits-Page/?locale=en_US

Additional Information

Req Id: 115028
Company Code: PACIFICORP #PM25
Primary Location: PORTLAND 100% ONSITE
Department: Power Supply
Schedule: FULL TIME
Personnel Subarea: Exempt

Hiring Range: $77,200 - $122,100

Employees must be able to perform the essential functions of the position with or without an accommodation.

PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.

Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. While marijuana is legal in several states, including Oregon, a positive test for positions in Oregon may disqualify a candidate. The company complies with the laws of Washington and California and only obtains and considers positive tests for marijuana in safety-sensitive positions or those covered by U.S. Department of Transportation regulations.


Nearest Major Market: Portland Oregon
Career Segment: Research Scientist, Sustainability, Supply, Technical Writer, Business Intelligence, Science, Energy, Operations, Technology


Compensation details: 77200-122100 Yearly Salary


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