Overview
On Site
Hybrid
Contract - Independent
Contract - W2
Contract - 12
Skills
AI/ML
POC's
Job Details
Title: AI/ML Data Analyst
Location: Cupertino, CA (3 days Hybrid)
Experience: 12+ years
Minimum Qualifications
Typically requires a minimum of 12+ years of related experience in managing data science projects across large scale organizations
Extraordinary data analytical skills, including the ability to model, interpret and present data in a way to zero in on what is most impactful
Innovative and strategic approach to reporting and business analytics
Have a strong knowledge of AI/ML technologies and trends, with proven experience of developing data science based prototypes and POCs
A good understanding of the Machine learning basics - Supervised/unsupervised learning, predictive modeling, probability and statistics, time series, regression analysis, hypothesis testing, data analysis and visualization.
Experience in applying analytical techniques to provide solutions to real business problems.
Experience in eliciting business requirements and defining key sales performance and finance metrics.
Preferred Qualifications
Hands-on experience in Python, SQL, and other languages is preferred
Ability to translate technical content for non-technical audiences and vice-versa.
Excellent written and verbal communication skills
Passion and self-motivation, with outstanding attention to detail, sense of urgency, and follow-through
Strong time management and organizational skills; Consistent track record of prioritizing workload, handling multiple assignments simultaneously, and meeting deliverables under tight deadlines
Excellent interpersonal skills; Strong presentation skills with stellar written, verbal and listening abilities
Education
Bachelor's degree required
Masters degree preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.