About this opportunity
DataJobs lists this Data Scientist opportunity in vancouver, Washington. Review the employer’s description below for duties, qualifications and application requirements.
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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Worksite address
vancouver, WA, 98662, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.