Associate Partner - AI & Analytics

IBM

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
73 days ago

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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.

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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 firm is a mid-level position within the data science team, focusing on leveraging advanced analytics and artificial intelligence to drive business growth. This individual will work closely with cross-functional teams to develop predictive models, automate processes, and provide actionable insights for strategic decision-making. Day-to-day responsibilities include analyzing large datasets, building machine learning algorithms, and collaborating with stakeholders to identify key performance indicators. The ideal candidate should have expertise in Python or R, proficiency in SQL, and experience with tools like TensorFlow, PyTorch, and Tableau. This role requires a deep understanding of data-driven solutions within the context of scalable enterprise systems, addressing complex business challenges through innovative AI applications.

What you'll do

  • Lead AI and analytics projects to deliver innovative solutions for clients.
  • Develop strategic insights using advanced data analysis techniques and tools.
  • Design and implement machine learning models to solve complex business problems.
  • Stay updated with the latest trends in artificial intelligence and big data.
  • Mentor junior team members on AI technologies and best practices.

What we're looking for

  • Minimum 10 years of experience in AI and analytics.
  • Proven track record leading complex data science projects.
  • Strong expertise in machine learning algorithms and frameworks.
  • Excellent communication skills for client presentations and meetings.
  • Experience managing cross-functional teams and stakeholders effectively.

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