Lead Data Scientist

This is a Fully Remote Job

About Our Client:

The organization operates in the financial services and credit ratings industry, providing independent credit ratings, research, and sustainable finance opinions. It addresses the challenge of market complexity by delivering clear insights that enable businesses, governments, and institutions to make informed decisions. The organization supports economic growth through high-quality analysis and benchmarks across global capital, commodity, and automotive markets.

About the Opportunity:

The LEAD DATA SCIENTIST role is responsible for leading the development of advanced machine learning, generative AI, natural language processing, and large language model solutions for batch and streaming pipelines. This position drives the design, implementation, and optimization of AI/ML models and architectures to meet technical and business requirements. The role contributes by ensuring the deployment of scalable, reliable AI systems that enhance the organization's data science capabilities and provide critical insights.

Responsibilities:

• Lead design and development of custom machine learning, generative AI, NLP, and large language models.
• Architect solutions for data ingestion, preprocessing, search, Retrieval Augmented Generation, fine-tuning, and prompt engineering.
• Use tools such as Python, PyTorch, and Hugging Face Transformers for model development and fine-tuning.
• Collaborate with cross-functional teams including data science, MLOps, and technology groups.
• Develop evaluation frameworks to assess model performance during development and user acceptance testing.
• Monitor and optimize models to improve efficiency and system performance.
• Partner with engineering teams to deploy models ensuring reliability, scalability, and performance.
• Manage AI application deployment on cloud platforms like AWS, Google Cloud, or Microsoft Azure.
• Maintain comprehensive documentation of modeling processes to ensure reproducibility and knowledge sharing.
• Ensure compliance with standards, governance frameworks, and best practices in model development.
• Lead troubleshooting efforts for complex issues in ML model development and data pipelines.

Requirements:

• Master’s degree in Computer Science, Data Science, or related IT field.
• Minimum 3 years of experience in data science or related roles.
• Proficiency in Python programming and machine learning frameworks including PyTorch, Hugging Face Transformers, and LangChain.
• Experience with large language model architectures such as GPT, BERT, or T5.
• Skills in training, fine-tuning, and adapting large-scale LLMs for domain-specific tasks.
• Experience developing NLP solutions including text generation, summarization, classification, question answering, and entity extraction.
• Knowledge of keyword-based and semantic search using vector embeddings and approximate nearest neighbor methods.
• Involvement in open source or research contributions related to machine learning or AI.
• Ability to scope, formulate, and execute complex machine learning projects including stakeholder management.

Pay Range and Compensation Package:

• The anticipated base salary range for this position is $189,532 to $206,350.
• Final base salary will depend on geographic location, experience, skills, training, and certifications.
• This role is eligible for an annual incentive plan.
• Additional benefits may be available through the broader organization.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.