Senior Data Scientist

About the job

The Data Foundations and AI Solutions Engineering team supports AI/ML efforts in customer facing interfaces and internal troubleshooting tools. We look to simplify the resolution of issues through improved content, search, diagnostics, and support workflow.

We are seeking a technically minded, detail oriented, and creative Data Scientist focused on natural language processing, machine learning & data analytics to join our team. The ideal candidate will be passionate about collaborating with subject matter experts, and software engineers to create and maintain ML models, both predictive and generative, and applications that improve the customer experience when facing issues with Red Hat products.

The successful candidate will have a track record of strong technical skills, exposure to various ML frameworks, and excellent communication and collaboration skills. Additionally, the candidate should be comfortable with experimentation, objective validation, and a fast, iterative approach to development.

If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and collaborative innovation, then this is the job for you!

What you will do

The work entails collaborating with highly skilled engineers and program/product managers to help create, maintain, and evolve automation and AI solutions for the Experience Engineering (XE) organization at Red Hat.

• Designing, building, and implementing advanced analytical models using machine learning, deep learning, and statistical techniques to extract insights from complex data sets.
• Collaborating with cross-functional teams to translate business requirements into technical solutions.
• Developing and implementing data visualization tools and dashboards to communicate insights effectively to stakeholders.
• Designing and conducting experiments to test hypotheses and validate assumptions.
• Collaborating with Data Engineers to optimize data pipelines and improve data quality.
• Developing and maintaining documentation for analytical models, data pipelines, and insights.
• Staying up-to-date on emerging trends in data science, machine learning, deep learning, statistical analysis, and related fields.
• Collaborating with Machine Learning Engineers to deploy models into production environments.
• Communicating findings effectively to stakeholders through written reports, presentations, and interactive dashboards.

What you will bring

• Bachelor’s degree or above in Computer Science, Math, Computational Linguistics, or other related fields.
• 3+ years working in Data Science, creating and maintaining ML solutions.
• Strong programming skills in Python, R, SQL, and/or other relevant languages.
• Experience with machine learning frameworks such as TensorFlow, Keras, Scikit-learn, or similar.
• Strong mathematical and statistical skills, including proficiency with probability theory, linear algebra, optimization, and statistics.
• Experience with NLP python libraries and usage.
• Comfortable working with a small team in a fast-paced, highly collaborative environment
• Working knowledge of AWS services such as EC2 and S3 storage is a plus.
• Experience with Linux and OpenShift is a plus.
• Experience with reporting tools such as Tableau is a plus.
• Personal qualities and communication
• Ability to develop clear and impactful visualizations to communicate complex data findings to both technical and non-technical stakeholders.
• Ability to work well with software developers to create and deploy ML based applications.
• Communication skills and experience in interacting with cross functional business and engineering teams.
• Excellent English 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 have the flexibility to choose the work environment that suits their needs from in-office to fully remote to office-flex. 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. Opportunities are open. Join us.

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.

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.