Senior Data Science Leader

4 weeks ago

Bengaluru, Karnataka, India State Street Full time
Role Description

At State Street, we're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies. We're seeking an experienced professional to join our team as a Principal Data Scientist.

About the Role

We're looking for a strong and passionate data scientist with a proven track record of solving large, complex machine learning problems in a real-world software product development setting. Ideal candidates should be able to take a business or engineering problem from a PM or Engineering leader and translate it to a data science problem.

As a Principal Data Scientist, you will be delivering results through innovation and persistence with no give-up attitude.

Key Responsibilities
  1. Lead data science projects or teams, aligning with business needs and delivering value.
  2. Drive the development and implementation of innovative algorithms and methodologies to address complex business challenges.
  3. Define and communicate the technical direction and strategy for the team and the project.
  4. Provide technical guidance and promoting best practice within the team.
  5. Ensure the quality of project deliverables meet the required standards.
  6. Tell compelling, data-driven stories visually and verbally.
  7. Collaborate with cross-functional teams, providing technical leadership in the development of AI-driven applications.
  8. Optimize for performance, scalability, and practical applicability in real-world scenarios.
  9. Stay up-to-date on ongoing AI development activities across the company.
Generative AI and LLM

We're looking for a candidate with expertise in developing, implementing, and optimizing large language models and Generative AI technologies, including training/finetuning and computation optimizations.

  1. Develop, implement, and optimize large language models and Generative AI technologies, including training/finetuning and computation optimizations.
  2. Collaborate with software engineers to deploy LLM and other Generative AI models into production environments.
  3. Pre-train and finetune over large GPU clusters while optimizing for various trade-offs.
  4. Improve upon the state-of-the-art in Generative AI model architectures and training techniques.
  5. First-hand experience with deep reinforcement learning, fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA).
  6. Stay up to date with the latest advancements in the field of Generative AI.
Industry Research and Innovation

We're seeking a candidate who can lead data science partnerships and IP improvement, conduct pioneering research in Generative AI, NLP, Information Retrieval, Vision and LLMs, and stay abreast of the latest advancements in AI technologies.

  1. Lead data science partnerships and IP improvement.
  2. Conduct pioneering research in Generative AI, NLP, Information Retrieval, Vision and LLMs.
  3. Stay abreast of the latest advancements in AI technologies.
  4. Mentor and guide a team of innovative individuals, fostering a culture of innovation, excellence, and continuous learning.
Management

We're looking for a candidate who can work with, leverage, and mentor other data scientists to maximize impact and throughput, live and define a culture, value and practice leadership principles, and attract and retain great people.

  1. Work with, leverage, and mentor other data scientists to maximize impact and throughput.
  2. Live and define a culture, value and practice leadership principles.
  3. Attract and retain great people; Know each individual's capabilities and aspirations; Invest in the growth of others.
Core/Must have skills

A minimum of 18 years of relevant work experience with a Bachelor's Degree or 10+ years of work experience with an Advanced degree (e.g. Masters) or 7+ years of work experience with a PhD in Computer Science, Statistics, Mathematics, Machine Learning, or related disciplines.

Deep expertise in data science/machine learning, deep learning, ML Engineering, MLOPs and deployment.

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).

Experience in deep learning frameworks (like PyTorch or TensorFlow) and distributed training tools (like DeepSpeed or Pytorch Distributed).

Excellent problem-solving skills and the ability to work independently and collaboratively.

Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing.

Strong understanding of software engineering principles and best practices.

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