Data Scientist

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)