Senior Data Scientist

Raleigh

Red Hat

Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies.

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Analyze data available in relational databases from different source systems and identify any inaccuracies or limitations when developing analytical solutions. Develop cross functional analytics projects from end to end, including problem definition, requirements gathering, data exploration and manipulation, feature engineering, modeling, testing/validation, and implementation/delivery.

* Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, Inc. office in Raleigh, NC.
 

What You Will Do:

  • Build relationships with company teams and stakeholders, framing and structuring questions, collecting and analyzing data, and summarizing and presenting key insights in support of decision making.
  • Collaborate with key stakeholders and other analytics teams across the company to identify opportunities to leverage company data to support business needs.
  • Determine relationships between source system data and join tables together to develop analyst-ready data sets used for dashboard or model development.
  • Use quantitative and statistical methods to understand underlying trends in data and use statistical forecasting methods to forecast future outcomes.
  • Develop automation in extracting data and summarize the findings to business stakeholders to analyze trends and outliers in financial business processes.
  • Develop dashboards and visualizations to graphically represent data surrounding different financial projects that efficiently enable decision making.
  • Translate analytical and technical concepts to business stakeholders and senior leadership in verbal, visual and written format to enable better decision making.
  • Present data and visualizations in meetings to both internal team members and external team stakeholder groups within the company.

What You Will Bring:

  • Bachelor’s degree (U.S. or foreign equivalent) in Analytics, Statistics, Operations Research, or related field and three (3) years of experience in the job offered or related role.
  • Must have three (3) years of experience with: SQL programming; Tableau dashboard development; Python programming; Data Visualization; and Relational Database systems.
  • Must have two (2) years of experience with: Agile methodology; Statistical modeling and forecasting; JIRA; and Gitlab or other version control systems.

#LI-DNI

The salary range for this position is $111,260 - $183,580. 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.

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.

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. 

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Category: Data Science Jobs

Tags: Agile Data visualization Engineering Feature engineering GitLab Jira Kubernetes Linux ML models Open Source Python RDBMS Research SQL Statistical modeling Statistics Tableau Testing

Perks/benefits: Equity / stock options Salary bonus Transparency

Regions: Remote/Anywhere North America
Country: United States

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