Senior Data Scientist

Senior Data Scientist page is loaded## Senior Data Scientistremote type : Hybridlocations : Bostonposted on : Posted Todayjob requisition id : R-052516Leverage advanced data analysis, statistical, and machine learning techniques to analyze large datasets (big data) from test results and logs, identifying patterns and trends to develop and implement data-driven solutions that align with strategic business objectives.\

• Telecommuting permitted : work may be performed within normal commuting distance from the Red Hat, Inc. office in Boston, MA.What You Will Do :
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from disparate sources.
• Develop and deploy machine learning and natural language processing (NLP) models on OpenShift and OpenShift AI, enhancing the productivity and efficiency of the Quality Engineering (QE) teams at Red Hat.
• Take ownership of MLOps responsibilities for both new and existing AI / ML applications, managing the end-to-end model lifecycle, including training, versioning, deployment, monitoring, and continuous improvement to ensure model reliability and scalability.
• Implement and optimize NLP embedding and inference models on OpenShift AI to deliver robust natural language understanding capabilities, leveraging cutting-edge techniques to enhance model performance and application effectiveness.
• Apply prompt optimization techniques such as few-shot learning, chain-of-thought prompting, and other advanced methods to improve model outputs and facilitate efficient model performance across various use cases.
• Implement RAG (Retrieval-Augmented Generation) and model tuning using InstructLab and RHEL AI, fine-tuning large language models for context-specific applications that improve responsiveness and deliver tailored insights to users.
• Design strategic roadmaps and develop, test, and maintain Python scripts to deploy machine learning models and data pipelines into production environments, ensuring high-quality standards and seamless integration with existing infrastructure.
• Analyze data to identify trends, anomalies, and key insights, documenting findings to support further investigation, continuous feedback loops, and improvements in model accuracy and application efficacy.
• Participate in the end-to-end AI / ML project lifecycle, including requirements gathering, workflow design, scheduling, and milestone setting to ensure projects meet delivery timelines and align with Red Hat’s strategic goals.
• Strategize and oversee the AI / ML project lifecycle, ensuring comprehensive project execution in line with scope and timelines, and adjusting strategies based on feedback and evolving needs.
• Collaborate cross-functionally with the data science and QE teams to enhance data analytics, improve model functionality, and streamline development processes.
• Keep up with AI / ML developments and research papers, particularly in the Generative AI space.
• Access and maintain comprehensive databases of test results and log files from QE teams, ensuring that data pipelines remain accurate, secure, and accessible for analysis and model training.
• Monitor and visualize key metrics and defect logs using tools like Tableau, Splunk, Grafana and Kibana, creating intuitive dashboards and providing technical support to internal teams and customers to drive data-informed decision-making.
• Participate in an agile development team and experience working within an open-source community.
• Lead, coach and collaborate with junior engineers as they build AI / ML knowledge and skills.What You Will Bring :
• Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Mathematics or related field and five (5) years of experience in the job offered or related role OR Master's degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Mathematics or related field and three (3) years of experience in the job offered or related role.
• Must have three (3) years of experience with : Python scripting language; SQL; statistical data analysis and visualization methodologies; classical machine learning modeling; natural language processing (NLP) models; and Docker, Airflow, CI / CD.
• Must have two (2) years of experience with : model deployment and MLops methodologies; and Openshift.
• Must have six (6) months of experience with : task management systems, including Jira or Monday; LLM model tuning and RAG methodologies; and Openshift AI.
• Must have six (6) months of experience applying and evaluating prompt optimization techniques.#LI-DNIThe salary range for this position is $178,131 - $220,680. Actual offer will be based on your qualifications.
• Pay Transparency
• Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and / or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
• About Red Hat
• is the world’s leading provider of enterprise 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.
• 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 different 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 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.### Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.### ### Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are.Some

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