Lead Data Scientist

DTCC • Jersey City, NJ

1d • Hybrid

About The Position

Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. Pay and Benefits: Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and well-being benefits, based on location Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). Your Primary Responsibilities: Generative AI Application Development Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs). Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities. Model Development and Deployment Design and develop machine learning models and algorithms to address business challenges and improve product features. Deploy machine learning models in production environments to ensure scalability and efficiency. Optimize and refine models based on performance metrics and feedback. Data Management Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation. Implement data augmentation and feature engineering techniques to enhance model performance. Maintain and manage data pipelines to ensure seamless data flow and integration. Research and Innovation Stay updated with the latest trends and advancements in AI and machine learning technologies. Conduct research to explore new methodologies and techniques that can be applied to current and future projects. Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions. Collaboration and Communication Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals. Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner. Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.

Requirements

• Bachelor's or Master’s degree in computer science, Statistics, Data Science, or a related field.
• 6+ years of experience in Machine Learning and Data Science.
• Strong understanding of statistical methods, data structures, and algorithms.
• Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
• Experience developing and deploying AI solutions on AWS cloud platform.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
• Proven experience in developing and deploying machine learning models in a production environment.
• Experience working with large datasets and performing data analysis.
• Excellent communication and collaboration skills.
• Strong problem-solving skills and analytical thinking
• Passion for learning and staying up-to-date with the latest advancements in AI field

Nice To Haves

• Ph.D. in a relevant field is a plus.
• Additionally, experience on Snowflake Cortex is plus.
• Previous experience in a similar role or industry is preferred.

Responsibilities

• Generative AI Application Development Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).
• Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
• Model Development and Deployment Design and develop machine learning models and algorithms to address business challenges and improve product features.
• Deploy machine learning models in production environments to ensure scalability and efficiency.
• Optimize and refine models based on performance metrics and feedback.
• Data Management Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.
• Implement data augmentation and feature engineering techniques to enhance model performance.
• Maintain and manage data pipelines to ensure seamless data flow and integration.
• Research and Innovation Stay updated with the latest trends and advancements in AI and machine learning technologies.
• Conduct research to explore new methodologies and techniques that can be applied to current and future projects.
• Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions.
• Collaboration and Communication Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.
• Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
• Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.

Benefits

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees