1

Analytics Data Scientist Jobs in Seattle, WA (NOW HIRING)

Data Scientist, Product Analytics Responsibilities: * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply ...

Data Scientist, Product Analytics Responsibilities: * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply ...

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

Within the Data Operations organization, the Capacity Planning & Analytics team provides ... We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ...

Data Scientist, Product Analytics Responsibilities: * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply ...

We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and ...

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Data Scientist Company: PACCAR Requisition Summary As a Data Scientist you'll support the growth of ... This position is part of the Advanced Analytics team, a collaborative group that creates analytics ...

Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data ...

We are seeking an experienced Data Scientist with expertise in Agentic AI and Microsoft AI ... Build and optimize Machine Learning models for predictive analytics, automation, and decision ...

Your scope will reach from text classification problems over big data analytics to A/B testing and ... Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing;

Data Scientist

Renton, WA

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ ...

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ ...

Data Scientist

Renton, WA

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ ...

Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data ...

Data Scientist, Product Analytics Responsibilities: * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply ...

Data Scientist, Product Analytics Responsibilities: * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * Apply ...

next page

Showing results 1-20

Analytics Data Scientist information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do analytics data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for analytics data scientist in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an analytics data scientist?

To thrive as an Analytics Data Scientist, you need a strong foundation in statistical analysis, data modeling, and programming languages such as Python or R, usually backed by a degree in a quantitative field. Proficiency with tools like SQL, machine learning frameworks (e.g., scikit-learn, TensorFlow), and data visualization platforms like Tableau is expected. Critical thinking, effective communication, and problem-solving skills help you translate complex data insights into actionable business recommendations. These competencies are essential for driving data-driven decisions that support organizational objectives and innovation.

What does an analytics data scientist do?

An Analytics Data Scientist uses data analysis, statistical modeling, and machine learning techniques to help organizations extract insights from large datasets. They identify trends, create predictive models, and provide actionable recommendations to improve business outcomes. Their work involves cleaning and processing data, developing algorithms, and presenting findings to stakeholders in a clear and concise manner.

How does an analytics data scientist typically collaborate with stakeholders across different departments?

Analytics Data Scientists frequently work closely with cross-functional teams, including business analysts, product managers, and IT professionals. They translate complex data findings into actionable insights tailored to each department's goals. Regular communication is essential, as they often present data-driven recommendations to non-technical audiences and adjust their analyses based on stakeholder feedback. This collaborative environment helps ensure that data-driven strategies align with business objectives and drive measurable impact.

Is data analytics a high demand job?

Data analytics is a high-demand field, with organizations across industries seeking skilled data scientists to interpret large datasets, improve decision-making, and develop predictive models. The role often requires proficiency in tools like SQL, Python, or R, and the demand is expected to grow as data-driven strategies become more central to business operations.

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

AspectAnalytics Data ScientistData Analyst
Required SkillsStatistical analysis, machine learning, programming (Python, R)Data visualization, SQL, basic statistics
Work EnvironmentAdvanced analytics, predictive modeling, data science projectsReporting, data cleaning, descriptive analysis
Common EmployersTech companies, finance, healthcareRetail, marketing, business services

While both roles analyze data to support business decisions, Analytics Data Scientists focus on building predictive models and advanced analytics, whereas Data Analysts primarily handle data reporting and descriptive analysis. The roles often overlap but differ in complexity and technical depth.

What are popular job titles related to Analytics Data Scientist jobs in Seattle, WA?

For Analytics Data Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Analytics Data Scientist jobs in Seattle, WA look for?

The top searched job categories for Analytics Data Scientist jobs in Seattle, WA are:

Infographic showing various Analytics Data Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Marketing Data Scientist

Puget Sound Energy

Bellevue, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Puget Sound Energy rating

8.6

Company rating: 8.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Puget Sound Energy is looking to grow our community with top talented individuals like you!  With our rapidly growing, award winning energy efficiency programs, our pathway to an exciting and innovative future is now.

PSE's Communications & Marketing team is looking for qualified candidates to fill an open Marketing Data Scientist position!


Specific details regarding the work arrangements for this position will be discussed in further detail during the interview process.

Job Description

PSE's Communications Strategy team is looking for a Marketing Data Scientist to lead the development, measurement, and optimization of marketing, customer engagement, and communications performance through advanced analytics, data science, and business intelligence. This role integrates marketing strategy with data-driven insights to support companywide marketing efforts and corporate priorities. The most successful candidate will be able to use storytelling to present data to internal and external stakeholders, translate data into actionable items, and move data between multiple sources and programs. 

The responsibilities of this role combine statistical analysis, machine learning, and business analytics to evaluate campaign performance, forecast customer behavior, and optimize marketing effectiveness. Additionally they develop production-quality models, dashboards, and reporting frameworks that enable data-driven decision-making across marketing and customer experience functions.

The Marketing Data Scientist will need to partner cross-functionally with marketing, customer insights, analytics, regulatory, and external agencies to deliver actionable insights that improve engagement, enhance customer experience, and support corporate goals. 

All PSE employees are expected to uphold the safety compliance standards inherent in PSE's operating and/or field procedures related to work responsibilities and promote and support a culture of total safety. Additionally, employees need to demonstrate commitment to conduct business honestly, ethically and consistent with our core values and Code of Conduct. All duties are to be performed in accordance with all regulatory compliance obligations.

Job Responsibilities
  • Lead performance tracking and reporting for marketing campaigns and customer engagement programs.
  • Design and manage KPIs to evaluate marketing effectiveness.
  • Develop machine learning models to predict customer behavior and optimize marketing outcomes.
  • Perform data mining and advanced analytics on large datasets.
  • Develop and maintain dashboards and reporting frameworks.
  • Translate data into actionable insights for stakeholders.
  • Collaborate with internal teams and agencies to optimize customer marketing and communications campaigns.
  • Apply process improvement methodologies to marketing operations.
  • Experience with ETL (extract, transform, load) process and application.
  • Perform analysis and present results in a clear manner.
  • Enhance data collection procedures to include information that is relevant for building user solutions by processing, cleansing, and verifying the integrity of data used for analysis.
  • Communicates and collaborates across groups to provide insights to the organization.
  • Data mining using state-of-the-art methods.
  • Perform ad-hoc analysis and present results in a clear manner.
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
  • Optimize joint development efforts through appropriate database use and project design.
  • Performs other duties as assigned.
Minimum Qualifications
  • Bachelor's degree in Computer Science, mathematics, statistics, economics, finance, Data Science or other relevant quantitative field; or equivalent experience.
  • At least one year experience in applying quantitative methods and building production quality machine learning models in a classroom, or laboratory setting.
  • Undergraduate degrees in Data Science satisfy the one year experience requirement.
  • Proficiency with Python or R.
  • Strong working knowledge of SQL.
  • Experience with visualization tools like Tableau or Power BI.
  • Ability to synthesize large quantities of statistical data and complex analyses into actionable information.
  • Ability to collaborate and participate in direct data science and data management projects and project teams.
  • Familiar with all categories of security and regulated data and information.
Desired Qualifications
  • Graduate degree in quantitative field.
  • Experience with working with AWS, Azure or other cloud-based platforms.
  • Experience supporting marketing, digital communications, customer engagement, or brand reputation initiatives through data analysis and performance
  • Knowledge of marketing analytics methodologies including campaign attribution, customer segmentation, A/B testing, engagement scoring, and conversion
  • Strong understanding of data storytelling and presentation techniques for marketing and executive audiences
  • Experience working with SAP data.
  • Natural curiosity and desire to learn, a passion for solving real world problems.
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
Additional Information

At PSE, we value our employees and provide them with opportunities to excel. We offer a competitive and comprehensive total rewards package. To learn more about why PSE is a great place to work, see our Employee Value Proposition, which highlights our commitment to employee growth, work-life balance, and meaningful career opportunities in the energy sector.

The pay range for this position is $103,100.00 - $181,300.00, and this position is eligible for annual goals based incentive bonuses. 

PSE offers a suite of benefits to our employees. Employees are eligible for medical, dental, vision, basic life, and short- and long-term disability insurance.  There are additional voluntary options of supplemental life insurance, accidental death and dismemberment insurance, flexible spending accounts for health care and dependent daycare, and an Employee assistance program (EAP).  For long term savings, PSE offers a 401(k) investment option and a cash balance retirement plan.  Employees will also receive Paid Time Off (PTO) and Paid Holidays throughout the calendar year. Detailed benefit overviews can be found on our Career page - Why Work For Us (pse.com). 

Families and businesses depend on PSE to provide the energy they need to pursue their dreams. Our steadfast commitment to serving Washington communities with safe, dependable and efficient energy started in 1873. Today we're building the Northwest's energy future through efforts like our award winning energy efficiency programs and our leadership in renewable energy. 

Puget Sound Energy is committed to providing equal employment opportunity to all qualified applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, sexual orientation, gender identity, marital status, veteran status or presence of a disability that with or without reasonable accommodation does not prevent performance of the essential functions of the job, or any other category prohibited by local, state or federal law.

Should you have a disability that requires assistance and/or reasonable accommodation with the job application process, please contact the Human Resources Staffing department at jobs@pse.com or 425-462-3017.


What Puget Sound Energy employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom