Data & AI Specialist at Arena Staffing

Job Description:

Latest job information from Arena Staffing for the position of Data & AI Specialist. If the Data & AI Specialist vacancy in Seattle matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Arena Staffing for the position of Data & AI Specialist below matches your qualifications.

The Data & AI Specialist is responsible for designing, developing, and implementing data-driven and AI-powered solutions to drive business insights, automation, and operational efficiency. This role collaborates with cross-functional teams to build predictive models, analyze large datasets, and deliver actionable recommendations. The position requires strong technical expertise, analytical thinking, and the ability to work effectively in a remote environment.

This position is strictly open to candidates who currently reside in the United States and are legally authorized to work in the U.S. Applications from individuals residing outside the United States will be rejected.

• Develop, implement, and maintain AI and machine learning models to support business initiatives
• Collect, clean, and analyze structured and unstructured data from multiple sources
• Build dashboards, reports, and visualizations to communicate insights to stakeholders
• Collaborate with business, engineering, and product teams to identify AI-driven solutions
• Evaluate, test, and deploy AI algorithms and models using industry-standard frameworks
• Monitor model performance, retrain models as needed, and ensure data quality and integrity
• Stay current with advancements in AI, machine learning, and data analytics technologies
• Provide technical guidance, mentoring, and support to team members
• Support compliance with data privacy, security, and governance policies

• Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
• 3–6 years of experience in data analysis, machine learning, AI, or related roles
• Proficiency in programming languages such as Python, R, or SQL
• Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
• Strong analytical, problem-solving, and data interpretation skills
• Experience with data visualization tools (Power BI, Tableau, or similar)
• Excellent written and verbal communication skills
• Ability to work independently and manage multiple projects in a remote setting

• Masters degree in Data Science, AI, or a related discipline
• Experience with cloud platforms (AWS, Azure, GCP) and AI/ML services
• Familiarity with big data technologies (Spark, Hadoop, or similar)
• Experience deploying production-level AI systems
• Knowledge of data privacy regulations, ethical AI principles, and governance frameworks

• Annual Salary Range:$100,000 – $145,000 USD, based on experience, technical expertise, and geographic location

• Comprehensive medical, dental, and vision insurance
• 401(k) retirement plan with company matching
• Paid time off, paid holidays, and sick leave
• Life, short-term, and long-term disability insurance
• Flexible remote work arrangement
• Professional development, certifications, and conference reimbursement
• Employee wellness and assistance programs

• Must be legally authorized to work in the United States
• Must currently reside within the United States
• Applications from candidates outside the U.S. will not be considered

Job Info:

• Company: Arena Staffing
• Position: Data & AI Specialist
• Work Location: Seattle
• Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Data & AI Specialist at the office Seattle above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.