Top 47 Entry level data scientist Jobs in Seattle Wa

data scientist, Data & Analytics (Seattle, WA)
Starbucks —Seattle, WA
- $112,900 - $169,500 a year
- Bachelor of Science
- Mid-level
- Office
- Paid parental leave
- Paid holidays
Marketing Data Scientist
Puget Sound Energy —Bellevue, WA
- $103,100 - $181,300 a year
- Azure
- Computer Science
- Mid-level
- AD&D insurance
- Paid holidays
7d
Machine Learning Engineer
Adisys Corporation —Bellevue, WA
- Full-time
- Software development
- Entry level
Data Scientist, Datacenter
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
8d
Experimentation Data Scientist
Releady —Seattle, WA
- $35 - $43 an hour
- Full-time
- Microsoft Outlook
- Mid-level
- SQL
Quick Apply
10d
Statistical Programmer
SystImmune —Redmond, WA
- $80,000 - $100,000 a year
- Full-time
- Doctoral degree
- Office
- Master's degree
- Paid holidays
- Disability insurance
Member of Technical Staff - Model Training
SpaceXAI —Seattle, WA
- $180,000 - $600,000 a year
- No experience needed
- Communication skills
- Entry level
- Disability insurance
- Health insurance
Quick Apply
Applied Scientist
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Mid-level
3d
Member of Technical Staff, Microsoft Robotics (Robotics Data)
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
AI Engineer – Agentic AI Development
Nova Web Technologies —Seattle, WA
- Full-time
- Computer Science
- System design
- Office
Member of Technical Staff, Microsoft Robotics (Spatial AI)
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
Machine Learning Engineer
Hive —Seattle, WA
- $120,000 - $180,000 a year
- Full-time
- Computer Science
- Mid-level
- SQL
- Health insurance
- Dental insurance
Machine Learning Engineer
Zoom —Seattle, WA
- $183,600 - $275,400 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Mid-level
Data Scientist, Automated Vehicle Testing
Amazon Kuiper Manufacturing Enterprises LLC —Redmond, WA
- $136,000 - $184,000 a year
- Full-time
- 1 year
- Senior level
- Communication skills
- AD&D insurance
- Health insurance
3d
Data Scientist, SPX AI Lab, SPX Science
Amazon.com Services LLC —Seattle, WA
- $136,000 - $184,000 a year
- Full-time
- Organizational skills
- 1 year
- Senior level
- AD&D insurance
- Health insurance
Data Scientist, Prime Video Science
Amazon.com Services LLC —Seattle, WA
- $136,000 - $184,000 a year
- Full-time
- Computer Science
- Finance
- Math
- AD&D insurance
- Health insurance
Data Scientist , AMXL Worldwide Science
Amazon.com Services LLC —Bellevue, WA
- $136,000 - $184,000 a year
- Full-time
- Math
- Presentation skills
- Doctor of Philosophy
- AD&D insurance
- Health insurance
Software Development Engineer, AAIS
Amazon.com Services LLC —Seattle, WA
- $143,700 - $194,400 a year
- Full-time
- Computer science
- Computer Science
- System design
- AD&D insurance
- Health insurance
Generative AI Engineer III - State and Local Government
Deloitte —Seattle, WA
- $110,700 - $218,300 a year
- Full-time
- Computer Science
- Travel
- US work authorization
Data Scientist, WW Ops FP&A
Amazon.com Services LLC —Bellevue, WA
- $136,000 - $184,000 a year
- Full-time
- Mid-level
- Math
- Doctor of Philosophy
- AD&D insurance
- Health insurance

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data scientist, Data & Analytics (Seattle, WA)

Starbucks -
Seattle, WA

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Job Details

$112,900 - $169,500 a year

Benefits

Paid parental leave
Paid holidays
Disability insurance
Health insurance
Dental insurance
Parental leave
Vision insurance
401(k) matching
Life insurance

Qualifications

Performance dashboard reports
Version control
Bayesian inference
Data visualization software proficiency
Data Integration (Data management)
Statistics
Predictive modeling analysis
Bachelor of Science
Dashboard creation
R
Dashboard creation support
Clustering algorithms
Mid-level
SQL
Business intelligence tools
Bachelor's degree
Doctor of Philosophy
Master of Science
Psychology
Data reporting support
Improving predictive model accuracy
Decision trees
Decision tree analysis
Regression analysis
Model training
1 year
Clustering
Cross-functional collaboration
Research findings presentation
Model evaluation

Full Job Description

Now Brewing – Data Scientist! #tobeapartner

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and rich tradition, but also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.

As a Data Scientist, you’ll support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models. You’ll use data to create insights, develop repeatable pipelines, and deliver decision-ready outputs that can be adopted into real workflows.

As a Data Scientist, you will…

Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making.
Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases.
Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations.

We’d love to hear from people with:

1+ year of experience in data science, applied analytics, or related work
BA/BS or equivalent experience
Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
Strong communication skills and attention to detail

Preferred qualifications

Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative
Social Science, or similar)
Advanced degree (MS or PhD) preferred.
Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
Experience supporting model measurement/monitoring through dashboards and performance reporting
Expertise in building Bayesian elasticity models and causal inference
Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support

As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.

If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.

We believe we do our best work when we’re together, which is why we’re onsite four days a week.

Join us and inspire with every cup. Apply today!

Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at [email protected] or 1(888) 611-2258.

Apply Now

Refine Your Search

entry level data scientist jobs in seattle wa

data scientist, Data & Analytics (Seattle, WA)

Marketing Data Scientist

Machine Learning Engineer

Data Scientist, Datacenter

Experimentation Data Scientist

Statistical Programmer

Member of Technical Staff - Model Training

Applied Scientist

Member of Technical Staff, Microsoft Robotics (Robotics Data)

AI Engineer – Agentic AI Development

Member of Technical Staff, Microsoft Robotics (Spatial AI)

Machine Learning Engineer

Machine Learning Engineer

Data Scientist, Automated Vehicle Testing

Data Scientist, SPX AI Lab, SPX Science

Data Scientist, Prime Video Science

Data Scientist , AMXL Worldwide Science

Software Development Engineer, AAIS

Generative AI Engineer III - State and Local Government

Data Scientist, WW Ops FP&A

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