Vancouver, WA

Data Jobs in Vancouver, WA

4 jobs found

Include remote jobs

Today

Data Scientist

Information Technology Senior Management Forum Vancouver, WA

Vancouver, WA

Today

$105k - $162k/yr Full time Advanced Analytics Artificial Intelligence Big Data

Apply Now

Job Description

This role is focused on applying artificial intelligence, machine learning, and advanced analytics to deliver measurable business value. You will build models, develop intelligent solutions, and communicate results to both technical teams and executive stakeholders.

Location and Schedule

Location: Vancouver, WA (onsite)
Schedule: Full time
Shift: No shift premium (United States of America)
Type: Full-time

Salary

USD 105,050 - 161,800 per year.

Summary

Information Technology Senior Management Forum is seeking a Data Scientist to turn data into clear, decision-ready insights. The position supports business impact through AI, machine learning, and advanced analytics. Responsibilities include developing predictive and prescriptive models, creating solutions across machine learning, deep learning, natural language processing, and generative AI, and presenting findings to technical and executive audiences.

Core Responsibilities

Use AI, machine learning, and advanced analytics to extract insights from large, complex, and diverse datasets.
Build predictive and prescriptive models to support smarter and faster decision-making.
Develop innovative solutions using machine learning, deep learning, natural language processing, and generative AI technologies.
Collaborate with engineering, product, and business teams to deliver scalable data products and intelligent automation solutions.
Translate analytical results into clear narratives that explain the rationale behind the data and drive action.
Create data visualizations, dashboards, and presentations for both technical and executive stakeholders.
Lead data science initiatives through the full lifecycle, from discovery through deployment, to achieve measurable business outcomes.
Mentor and support other data scientists while fostering continuous learning and innovation.
Stay current with emerging AI technologies, industry trends, and advanced analytical methods to help maintain innovation momentum.

Required Qualifications

Bachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
3+ years of experience in data science, machine learning, analytics, or statistical modeling.
Strong programming skills in Python, SQL, R, or related technologies.
Experience working with large-scale structured and unstructured datasets.
Ability to communicate complex technical concepts through clear, compelling storytelling.

Preferred Qualifications

Experience with generative AI, Large Language Models (LLMs), AI-powered analytics, or intelligent automation solutions.
Experience deploying machine learning models into production environments.
Cloud experience with AWS and big data technologies such as Apache Spark.
Experience mentoring team members or leading analytics projects.
Professional certifications in Python, SQL, AI, Machine Learning, or Cloud technologies.

Technologies and Technical Expertise

AI & Machine Learning: AI, Machine Learning, Deep Learning
Generative AI: Generative AI, Large Language Models (LLMs)
NLP: Natural Language Processing
Analytics: Advanced Analytics
Programming: Python, SQL, R
Big Data and Cloud: Apache Spark, AWS
Data Work: Data mining and big data analytics; data pipeline development and collaboration with data engineering
Visualization: Data visualization
Cloud Analytics Platforms: AWS

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave (US benefits overview)

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Today

Data Scientist

HP Vancouver, WA

Vancouver, WA

Today

$105k - $162k/yr Full time Advanced Analytics Analytics Artificial Intelligence

Apply Now

Job Description

HP is hiring a Data Scientist in Vancouver, WA (onsite) to apply AI and advanced analytics to business problems and measurable decision-making.

Responsibilities

Apply AI, machine learning, and advanced analytics to extract insights from large, complex, and diverse datasets
Build predictive and prescriptive models to support faster, smarter decisions
Develop solutions using machine learning, deep learning, natural language processing (NLP), and generative AI
Collaborate with engineering, product, and business teams to deliver scalable data products and intelligent automation
Translate analytical results into story-driven insights that explain the “why” behind the data
Create data visualizations, dashboards, and presentations for both technical and executive audiences
Lead data science initiatives from discovery through deployment, focused on measurable business outcomes
Mentor and guide fellow data scientists and support a culture of continuous learning and innovation
Stay current on emerging AI technologies, industry trends, and advanced analytical methods

Requirements

Education: Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field
Experience: 3+ years in data science, machine learning, analytics, or statistical modeling
Strong programming skills in Python, SQL, R, or related technologies
Experience working with large-scale structured and unstructured datasets
Ability to communicate complex technical concepts through clear, compelling storytelling

Technical Expertise

Artificial Intelligence and Machine Learning
Generative AI and Large Language Models (LLMs)
Predictive and statistical modeling
Data mining and big data analytics
Python, SQL
Data visualization
Cloud analytics platforms (AWS)
Data pipeline development and data engineering collaboration
AWS, Apache Spark
Data science and analytics workflows involving structured/unstructured data and cloud analytics

Preferred Qualifications

Experience with Generative AI, Large Language Models (LLMs), AI-powered analytics, or intelligent automation solutions
Experience deploying machine learning models into production environments
Cloud experience with AWS and big data technologies such as Apache Spark
Experience mentoring team members or leading analytics projects
Professional certifications in Python, SQL, AI, Machine Learning, or Cloud technologies

Compensation & Schedule

Salary: USD 105,050 - 161,800 per year
Location: Vancouver, WA (onsite)
Schedule: Full time
Shift: No shift premium (United States of America)

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave (US benefits overview)

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1mo ago

Principal Data Scientist - AI Trainer

DataAnnotation Vancouver, WA 🇺🇸 Remote

Vancouver, WA

1mo ago Closed

$50 - $100/hr Full time Ai Model Training Ai Training Artificial Intelligence

This position is no longer accepting applications (closed Sep 23, 2026).

Job Description

Principal Data Scientist - AI Trainer evaluates and helps train AI models focused on quantitative reasoning.

Responsibilities

Review AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, ensuring technical accuracy and real-world validity
Develop and solve quantitative problems for training and benchmarking AI systems across areas such as:
- Forecasting
- Experimental analysis
- Optimization
- Statistical inference
Produce clear technical explanations and well-documented analytical code
Deliver feedback that directly influences the next generation of AI models built for quantitative reasoning

Requirements

2+ years of hands-on experience in a quantitative role or research environment (examples include data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or adjacent fields)
Coding experience required, with comfort writing and reviewing analytical code end-to-end
Practical experience with:
- Statistical methods
- Predictive modeling
- Experiment design (including A/B testing and hypothesis testing)
- Regression and classification
- Time-series forecasting
English fluency (native or bilingual) and strong writing skills
Bachelor’s degree in a quantitative field is preferred (such as Statistics, Computer Science, Mathematics, Engineering, or similar); master’s or PhD is a plus
Relevant credentials are a plus, for example: Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise

Compensation and Location

Location: Vancouver, WA (remote)
Pay: USD 50 - 100 per hourly

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose which projects you take on and when you work
Competitive pay: projects are paid hourly, up to $60 USD per hour
Higher-paying projects available with strong performance
Impact: help shape AI systems built to reason about data and analytics

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1mo ago

AI & Machine Learning Developer

Johnson Health Tech North America Inc Vancouver, WA

Vancouver, WA

1mo ago Closed

$99k - $119k/yr Full time Backend Developer Ai Ml Ai/ml Models

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

Johnson Health Tech North America Inc is seeking an AI and Machine Learning Developer to support mobile fitness applications. The role focuses on researching, designing, and prototyping AI features that use large language models and AWS services to deliver more personalized user experiences, in collaboration with Android development teams.

Role Responsibilities

Research, design, and implement AI/ML solutions for mobile fitness applications.
Develop and fine-tune large language models to support natural language interactions and personalization.
Build scalable backend services using AWS technologies such as AWS Lambda, DynamoDB, and SageMaker.
Create a production-ready MLOps pipeline and deploy inference endpoints using AWS services including SageMaker and Bedrock.
Collaborate with Android developers to integrate AI features into client-side applications.
Produce prototypes and proof-of-concepts for new AI-driven features.
Keep current with emerging AI/ML technologies and best practices.
Maintain compliance with data privacy and security standards.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
3+ years of experience in AI/ML development with a focus on Natural Language Processing (NLP) and large language models.
Hands-on experience with AWS services used for AI/ML deployment.
Proficiency in Python and machine learning frameworks, including TensorFlow and PyTorch.
Experience building RESTful APIs and working within microservices architecture.

Technologies You Will Work With

Large Language Models (LLMs)
AWS Lambda, DynamoDB, SageMaker, Bedrock
Python, TensorFlow, PyTorch
Natural Language Processing (NLP)
RESTful APIs, microservices architecture

Location and Salary

Location: Vancouver, WA (onsite)

Salary: USD 99,000 to 119,000 per year

Minimum Experience: 3 years

Benefits

Health & Dental Insurance
Company paid Life Insurance
401(k)
Paid Time Off benefits
Product discounts
Wellness programs

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Data Jobs in Vancouver, WA

Data Scientist

Data Scientist

Principal Data Scientist - AI Trainer

AI & Machine Learning Developer

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