Associate Partner - AI & Analytics

IBM

Remote

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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.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Associate Partner - AI & Analytics

We are seeking an Associate Partner specializing in AI and analytics to join our dynamic consulting team at a senior level. In this role, you will lead projects focused on leveraging advanced data science techniques and machine learning algorithms to solve complex business challenges for clients across various industries. Your day-to-day responsibilities include designing predictive models, conducting data analysis, and developing strategic recommendations based on insights derived from large datasets. Ideal candidates should possess expertise in Python or R, have a strong grasp of SQL for database management, and be familiar with cloud platforms like AWS or Azure. Additionally, experience with AI frameworks such as TensorFlow or PyTorch is highly valued. This position requires a deep understanding of data-driven decision-making processes and the ability to communicate technical findings effectively to non-technical stakeholders.

What you'll do

  • Develop and implement advanced AI solutions to enhance business operations.
  • Analyze complex data sets to provide actionable insights for decision-making.
  • Design predictive models to forecast trends and optimize resource allocation.
  • Lead project teams in delivering AI-driven projects on time and within budget.
  • Stay updated with the latest AI technologies and industry best practices.

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 Python or R for data analysis.
  • Excellent communication skills for client presentations and reports.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Certified professional in AI/ML (e.g., Google AI Professional).

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