Principal Data Scientist

Are you a seasoned data scientist looking for a new challenge? Do you have a passion for leading and mentoring a team of talented data analysts? If so, we have an exciting opportunity for you at Red Hat as a Principal Data Scientist. As a key member of our data science team, you will play a critical role in driving data-driven decision making and innovation within our organization. We are seeking a highly skilled and experienced data scientist who is not afraid to push boundaries and take on complex business challenges. If you have a strong background in data analysis, machine learning, and leadership, and thrive in a fast-paced and collaborative environment, we would love to hear from you. Join us at Red Hat and make a significant impact on our business through the power of data.

1. Lead and mentor a team of data analysts to ensure high-quality work and continuous growth and development of team members.
2. Drive data-driven decision making and innovation within the organization by leveraging advanced data analysis techniques and machine learning algorithms.
3. Collaborate with cross-functional teams to identify business challenges and opportunities that can be addressed through data analysis.
4. Develop and implement data science strategies and roadmaps to support business goals and objectives.
5. Utilize statistical modeling, machine learning, and data mining techniques to extract insights and patterns from complex data sets.
6. Communicate findings and insights to stakeholders in a clear and concise manner, making complex data accessible to non-technical audiences.
7. Stay up-to-date with the latest developments and advancements in the field of data science, and proactively identify opportunities for applying new techniques and technologies.
8. Take ownership of data science projects from conception to delivery, ensuring timely completion and high-quality results.
9. Collaborate with IT teams to ensure data integrity, security, and accessibility.
10. Continuously monitor and evaluate the performance of data science models and make necessary improvements to ensure accuracy and effectiveness.
11. Act as a subject matter expert for data science within the organization, providing guidance and support to stakeholders at all levels.
12. Foster a culture of data-driven decision making and promote the use of data in day-to-day processes and operations.
13. Identify and address potential risks and issues related to data science projects, and proactively develop contingency plans.
14. Participate in industry conferences and events to stay updated on the latest trends and share knowledge and expertise with the wider data science community.
15. Uphold the company's values and culture, and act as a role model for other team members.

According to JobzMall, the average salary range for a Principal Data Scientist is between $150,000 and $200,000 per year. However, this can vary depending on factors such as location, experience, and industry. In some cases, Principal Data Scientists can earn upwards of $250,000 per year.

Red Hat, Inc. is an American multinational software company providing open-source software products to the enterprise community. Founded in 1993, Red Hat has its corporate headquarters in Raleigh, North Carolina, with other offices worldwide. It became a subsidiary of IBM on July 9th, 2019.