Data Scientist

Develop new machine learning models to help Red Hat marketing continue to adopt a more data-driven approach to campaign decision making.

*Telecommuting role to be performed in anywhere in the U.S.
 

What You Will Do:

• Interview stakeholders to understand key business challenges and develop statistical or machine learning models to address those needs across Red Hat marketing.
• Develop a variety of machine learning models, from regression, classification, and unsupervised machine learning use cases to answer key questions for the Red Hat marketing team.
• Build robust machine learning models that can be operationalized and consumed by a variety of business applications and dashboards.
• Set bi-weekly sprint goals based on feedback from stakeholders and management to deliver on key objectives.
• Provide feedback on requirements and testing related to data science platforms and tools developed to improve team efficiency.
• Present work product, requesting feedback and adapting to new requirements as they occur and communicate when issues arise, or feedback is needed based on findings in the data.
• Responsible for defining how machine learning and other advanced statistical techniques can be used to answer key questions for Red Hat marketing.

What You Will Bring:

• Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Information Management or related field and three (3) years of experience in the job offered or related role OR Master's degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Information Management or related field and two (2) years of experience in the job offered or related role.
• Must have two (2) years of experience with: taking complex business problems and breaking them down to smaller, attainable chunks and applying analytical methods to develop a solution; data science concepts and analytical methodologies including statistical analysis, machine learning, and generative AI, as well as discerning the appropriate situations to apply each approach; understanding broader business motivations and pain points behind each project; working in small teams and larger cross-functional initiatives and contributing to those as a project member; articulating complex analytical results to both technical and non-technical audiences; choosing appropriate data science tools and methodologies with some supervision and help from teammates; and using Python, SQL, BASH, and/or Spark programming languages to develop data science solutions.

#LI-DNI

The salary range for this position is $113,500 - $181,440. 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

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.

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