Senior Data Scientist

The Senior Data Scientist exercises good judgment, working with minimal instruction to serve as a technical leader who drives data-driven decision making and shapes analytical approaches across projects. This role is responsible for resolving moderately complex data issues and managing data pipelines that impact the organization’s operational goals. What you will do: Develop methods, processes, and systems to consolidate and analyze large qualitative and quantitative data sets (support case and escalation data, retrospective feedback, etc.) to generate trends and actionable insights leading to the identification of escalation root causes and resulting improvement opportunities. Apply statistical and machine learning techniques and conduct advanced data analysis to develop innovative solutions to moderately complex problems. Proficiently leverage AI-assisted development tools, such as Git/Github/Gitlab, Gemini, Granite and Cursor, to optimize code generation and auto-completion to continuously enhance code quality and resulting analytical insights. Leverage Natural Language Processing (NLP) and modern machine learning techniques to extract insights from unstructured text and complex workflows. Build automated data pipelines to streamline complex analytical and operational processes across the organization. What you will bring: Bachelor's degree in Data analytics, Computer Science, Engineering, or a related field. Familiarity with deploying machine learning models via APIs (e.g., FastAPI) and working with modern databases (including vector databases) for unstructured data. Demonstrated solid analytical and statistical proficiencies, with proven experience in extracting actionable insights from diverse data sources, encompassing both quantitative assessments and qualitative inputs. Familiarity with Business Intelligence (BI) technologies and experience in developing methodologies and systems that allow algorithmic models to parse, interpret, and generate actionable insights from unstructured, complex, and heterogeneous data sources.  Familiarity with deploying machine learning models and working with modern databases for unstructured data. Proficiency in Python and NLP techniques, with a strong ability to build models that parse, interpret, and generate insights from complex text data.. Reporting experience and use of tools like Tableau, SFDC, SQL, Jira, and the Google suite is a plus. Solid organizational and project management skills, superior attention to detail. Motivation and curiosity, with a passion for data analytics and problem solving, coupled with a customer centric mindset. The ability to thrive in a multicultural, collaborative, and open team environment, often involving shared ownership of project deliverables. #LI-SM1 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. 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.