Principal Data Scientist (Chicago)

Fitch Ratings-posted 2 months ago

$170,000 - $200,000/Yr

Full-time • Senior

Hybrid • Chicago, IL

1,001-5,000 employees

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

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Fitch Group is currently seeking a principal data scientist, Director for its Emerging Technology AI Center of excellence (COE) group based out of our NY office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a 'Best Place to Work in Technology' 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.

Work closely as part of the product squads to build, integrate, and deploy GenAI and data science solutions.
Lead and manage development and research projects focused on generative AI, deep learning, machine learning, NLP, and large language models.
Design, develop, and deploy state-of-the-art machine learning models and algorithms that leverage deep learning, NLP and computer vision techniques.
Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and integrate them into existing systems and workflows.
Conduct experiments to validate the performance and effectiveness of developed models and iterate on improvements based on results.
Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business.
Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.
Stay up to date with the latest advancements in AI, machine learning, NLP, and large language models, and apply this knowledge to drive innovation within the organization.
Mentor and provide guidance to junior data scientists and researchers, fostering a culture of continuous learning and development.
Contribute to the creation of intellectual property, such as patents and publications, to enhance the company's competitive edge.

Ph.D. or master's degree in computer science, Data Science, Machine Learning, or a related field.
A minimum of 7 years of experience in data science, with a strong focus on generative AI, deep learning, machine learning, NLP, and large language models.
Proven track record of developing and deploying successful deep learning and NLP models in real-world applications.
Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlow or similar.
Strong understanding of natural language processing (NLP) techniques and experience with large language models like GPT, BERT, or similar.
Proficiency in machine learning and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc.
Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM's.
Excellent problem-solving skills and the ability to think critically and creatively.
Strong communication and leadership skills, with a demonstrated ability to work effectively in a collaborative environment.
Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc.
Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sage maker, Azure AI search, Azure OpenAI, Azure blob storage etc.

Passionate about the power of data, GenAI and predictive analytics to drive better business outcomes for customers.
Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment.
Familiarity with credit ratings agencies, regulations, and data products around the world.
Outstanding written and verbal communication skills.
A champion of good code quality and Data science practices.
Strong interpersonal skills and ability to work proactively and as a team player.

Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location.
A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity.
Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals.
Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing.
Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively.
Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe.
Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community.

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