Principal Data Scientist

About the Job:

The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the ‘moments that matter’ in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity.

We are seeking a highly experienced Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you.

In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hat’s data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement.

The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you!

What will you do?

• Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks.

• Drive the development of next-generation AI/ML applications in a highly collaborative environment.

• Oversee the design, implementation, and delivery of AI solutions.

• Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis.

• Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs.

What will you bring?

• 7+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face.

• Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle.

• Deep understanding of machine learning frameworks and experience in Generative AI application development.

• Working knowledge of TensorFlow, TensorFlow Serving, Keras, PyTorch.

• Comfortable working with a small team in a fast-paced, highly collaborative environment

• Experience with GenAI application development - LLMs, Embedding models, Vector Databases

• Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. 

• Bachelor’s degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry

• Experience developing highly scalable backend microservices in AWS

Personal qualities and communication

• Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling

• Communication skills and experience in interacting with cross functional business and engineering teams 

• Capability in undertaking business needs analysis in direct consultation.

• Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change.

• Capability to develop a detailed understanding of our business requirements.

• Excellent communication, presentation, and writing skills

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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