Senior Artificial Intelligence Data Scientist

September 16

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Ankura

Technology β€’ Risk & Compliance β€’ Turnaround & Restructuring β€’ Disputes & Expert Testimony β€’ Investigations

1001 - 5000 employees

🏒 Enterprise

πŸ€– Artificial Intelligence

πŸ’° Private Equity Round on 2021-11

Description

β€’ Developing and implementing data processing software, analytics algorithms, yielding optimization solutions. β€’ Advocating product with internal customers and leading demos with prospective clients. β€’ Applying AI, machine learning, and analytics techniques to develop analytics solutions to business problems. β€’ Developing, maintaining, and deploying analytics software. β€’ Establishing effective relationships with internal analytics, consulting, research teams and other key stakeholders to quickly bring products, tools, and models to market. β€’ Understanding the market need, competitive landscape; identifying differentiators and opportunities for products/solutions.

Requirements

β€’ BA/BS in Computer Science, Engineering, Business Analytics or another analytical area. β€’ Advanced degree preferred. β€’ 5-7+ years of experience as a Data Scientist. β€’ 1-2 AI projects (internal/external) using Generative AI. β€’ Strong experience in Python/R language, and optionally in different programming languages such as C#, Scala and Spark. β€’ Excellent understanding of GenAI, LLMs, approaches to fine tuning, evaluation, and prompt engineering. β€’ Excellent skills in machine learning/deep learning-based algorithms with structured/ unstructured data. β€’ Strong mathematical & statistical understanding behind the algorithms. β€’ Knowledge in NLP with packages like Stanford NLTK packages. β€’ Strong SQL skillsets are required. β€’ ML skills in modern cloud infrastructure such as Azure, AWS, or GCP is strongly desired. β€’ Intermediate skills in visualization tools like PowerBI or Tableau is a plus. β€’ Experience with automated ML tools like Dataiku, Data Robot, or H20.AI is a plus. β€’ Ability to travel 25%+ or as needed, dependent upon engagement(s).

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