Quick summary
- Work type
- Hybrid
- Location
- San Jose, CA
- Posted
- 73 days ago
Market check
Salary context
How this pay compares to similar roles
Similar $200k
$153k
most similar roles pay here
$251k
This listing doesn't post a salary. Most similar roles pay $162,362–$237,300.
Based on 199 similar postings.
Employer
About IBM
IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.
IBM currently has 743 open roles on FindRole.
Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.
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At a glance
TL;DR · Associate Partner - AI & Analytics
The Associate Partner role in AI and Analytics at our company is a mid-level position within the data science team, focusing on leveraging advanced analytics and machine learning to drive business growth. In this role, you will collaborate with cross-functional teams to develop predictive models, automate data-driven decision-making processes, and provide actionable insights for strategic initiatives. You will work extensively with Python, SQL, and R, utilizing tools like TensorFlow, PyTorch, and Tableau to build scalable solutions that address complex business challenges. This position requires a strong background in statistics, machine learning, and experience with large datasets, as you will be tackling high-impact projects across various industries, including finance and healthcare.
What you'll do
- Lead the development and implementation of advanced AI and analytics solutions for clients.
- Design and execute data-driven strategies to enhance business performance and operational efficiency.
- Conduct complex data analysis using machine learning techniques to solve client challenges.
- Stay updated with industry trends in artificial intelligence, big data, and analytics technologies.
- Mentor junior team members on best practices in AI and analytics project management.
What we're looking for
- Minimum 10 years of experience in AI and analytics.
- Proven track record leading complex data science projects.
- Expertise in machine learning algorithms and statistical modeling.
- Strong background in big data technologies and cloud platforms.
- Excellent communication skills for client interaction and presentations.
- Demonstrated ability to manage cross-functional teams effectively.
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