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S&P Global jobs

Director of Data Science

180,000 - 225,000 USD
S&P Global
Larimer Street 1800, Denver
180,000 - 225,000 USD
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Lead
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
We are looking for candidates who meet the following qualifications: - A Ph.D (preferred), Bachelor's or Master's degree in Computer Science, Mathematics or Statistics, Computational Linguistics, Engineering, or a related field. - A minimum of 10 years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML and NLP. - At least 4 years of hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools, with expertise in Python programming. - A minimum of 5 years of experience developing natural language processing (NLP) models, ideally with transformer architectures. - Experience of at least 5 years with implementing information search and retrieval at scale, using a range of solutions from keyword search to semantic search using embeddings. - Strong knowledge and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GenAI). - Capable of creating reports, projections, models, and presentations to support business goals and outcomes. - Demonstrated ability to exercise independent judgment and decision-making on complex issues regarding initiatives, technical and business goals. - Experience in mentoring junior ML scientists. - Ability to work under minimal supervision, using independent judgment. - Excellent written and verbal communication skills, alongside strong stakeholder management capabilities. - A strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. - Familiarity with higher-level trends in LLMs and open-source platforms is a plus. - Experience with contributing to GitHub and open-source initiatives or in research projects is a nice-to-have.

Technologies

AI
GitHub
HTTP
Keras
LLM
Machine Learning
PyTorch

Responsibilities

As the Director of Data Science, I will entrust you with the following responsibilities: - Develop and implement ML modeling, as well as LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. You will create a roadmap for NLP, LLM, and GenAI model development and lifecycle implementation. - Design and develop custom ML, GenAI, NLP, and LLM Models for batch and stream processing-based AI ML pipelines, ensuring the end-to-end solution meets all technical and business requirements, including SLA specifications. You will collaborate closely with technology team members and business leads in the design, development, and implementation of these ML model solutions. - Work with the MLOps team to create and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, and reliability during development and UAT, identifying and implementing model optimizations to improve system efficiency. - Collaborate with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. - Ensure smooth integration of machine learning models into production systems by collaborating closely with product teams, business stakeholders, and machine learning and software engineers. - Engage with business and PM stakeholders in roadmap planning and implementation efforts to ensure that technical milestones align with business requirements. - Mentor and develop technical AI/ML, NLP, LLM, and GenAI talent on the team, providing guidance to junior ML scientists and fostering their professional growth. - Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing. - Uphold standards, governance, and best practices in ML model development and adhere to model and data governance standards. - Troubleshoot complex issues related to machine learning model development and data pipelines, developing innovative solutions.

Description

At S&P Global, we pride ourselves on being industry leaders in risk management solutions, leveraging automation and AI/ML. This role presents a unique opportunity for you to evolve your career by applying your expertise in NLP, deep learning, GenAI, and LLMs to create substantial business value for our stakeholders while mentoring a talented ML Data Science team. We offer a competitive compensation package that includes an anticipated base salary range of $180,000 - $225,000, along with eligibility for an annual incentive plan. We embrace a culture of integrity, discovery, and partnership as we focus on powering global markets. Our commitment to inclusivity ensures that all individuals have access to opportunities based on their skills and contributions. We provide a range of benefits designed to support your personal and professional growth. If you are passionate about transforming data into Essential Intelligence®, we invite you to join our dynamic team and make a difference in the world.
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