Senior Artificial Intelligence Data Scientist

September 16

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Ankura

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Technology • Risk & Compliance • Turnaround & Restructuring • Disputes & Expert Testimony • Investigations

1001 - 5000

💰 Private Equity Round on 2021-11

Description

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

Requirements

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