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

Microsoft

Principal Data Scientist

Redmond, WA · On-site

The MAI Growth and Analytics Team owns MAI wide metrics, shared measurement systems, and ... We are seeking a Principal Data Scientist to drive Microsoft Content measurement strategy and ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

The Principal Data Scientist will lead efforts in defining metrics, designing experiments, and ... Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate ...

Microsoft AI

Principal Data Scientist

Redmond, WA · On-site

Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate ... Required : • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

$188K - $304.20K/yr

Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

Stripe

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

Design, analyze, and interpret the results of experiments. * Build ETL data transformation ... Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of ...

Stripe

Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

Design, analyze, and interpret the results of experiments. * Build ETL data transformation ... Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

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;

Microsoft

Principal Data Scientist

Redmond, WA · On-site

They are seeking a highly motivated and experienced Principal Data Scientist to join their Growth and Analytics team, responsible for building metrics systems, analyzing large datasets, and enhancing ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

$139.90K - $274.80K/yr

Analyze large datasets to identify patterns, trends, and content performance to improve the ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

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 ...

anthropic

Analytics Data Engineer

Seattle, WA · On-site

$275K - $370K/yr

About the Role As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with ...

Meta

Data Scientist, Product Analytics

Menlo Park, CA

$177K/yr

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 ...

Meta

Data Scientist, Product Analytics

$177K/yr

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 ...

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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 May 28, 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, and why are they important?

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.

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.

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.

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:
Analytics Data Scientist jobs near you

Senior Data Scientist/Data Analytics - R01565538

Brillio

Seattle, WA • Remote

$70 - $75/hr

Other

Posted 2 days ago

Job description

Senior Data Scientist
Primary Skills
  • Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
  • Data Science Advanced: Data Scientist
Job requirements
  • Location: Seatle, WA
    Work Type: Remote 
    Candidates needs to be ready to work on PST time zone
  • Analytical data professional with a strong mix of data analytics and data science support skills. Experienced in assisting senior data scientists with modeling, backtesting, forecast performance monitoring, and deep data analysis. Strong ability to investigate data at a detailed level, identify variances, trends, and anomalies, and translate findings into actionable insights for forecasting and supply chain decisions.
 
Key Responsibilities
   Perform deep data analysis to identify trends, anomalies, variances, and forecasting improvement opportunities.
   Support senior data scientists with model inputs, backtesting, validation, and performance analysis.
   Monitor forecast accuracy, bias, and overall health of forecasting solutions.
   Analyze data quality issues and understand business drivers.
   Build analytical datasets and reports to support forecasting and supply chain planning.
   Develop dashboards and KPI reporting using Power BI or similar analytics platforms.
   Collaborate with business teams and data scientists to improve decision-making.
   Automate recurring analysis using SQL and Python.
   Ensure strong data governance and reliable data availability.
 
Preferred Qualifications
   5+ years of experience in data analytics, forecasting analytics, or data science support roles.
   Strong expertise in SQL, Python, Excel, and data analysis techniques.
   Experience supporting forecasting models and backtesting processes.
   Understanding of statistics, trends, seasonality, and variance analysis.
   Experience with Power BI or similar analytics platforms preferred.
   Azure experience is a strong plus.
   Familiarity with Microsoft Fabric is a major plus.
   Supply chain experience preferred.
#LSR1
$70 - $75 an hour
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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