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Remote Algorithm Engineer Jobs in North Carolina

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology ... data scientists, developers, and clinical experts to translate clients' business needs into ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology ... data scientists, developers, and clinical experts to translate clients' business needs into ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0239248 Location: Fayetteville,NC,US Share job via: Share Data ... You'll guide teammates and lead the development of algorithms and systems. You'll use the right ...

Showing results 41-48

Remote Algorithm Engineer information

What is a remote algorithm engineer?

A Remote Algorithm Engineer is a professional who designs, develops, and optimizes algorithms for various applications, such as data analysis, machine learning, or software development, while working from a remote location. This role involves solving complex problems, collaborating with team members online, and implementing efficient solutions to improve system performance. Remote Algorithm Engineers often work in industries like technology, finance, healthcare, and more, utilizing programming languages and mathematical concepts to create effective algorithms.

What are the key skills and qualifications needed to thrive as a remote algorithm engineer?

To thrive as a Remote Algorithm Engineer, you need a strong background in computer science, mathematics, and algorithm design, often supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with version control systems and cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and clear communication skills are essential for excelling in a remote environment. These skills ensure the engineer can develop efficient solutions, collaborate effectively with distributed teams, and deliver high-quality work independently.

What are some common challenges faced by remote algorithm engineers, and how can they be addressed?

Remote Algorithm Engineers often face challenges such as effective communication with distributed teams, managing their own schedules, and ensuring seamless integration of their work with larger systems. To address these, it's important to leverage collaborative tools (like code repositories, project management platforms, and video conferencing), maintain clear and regular communication with colleagues, and participate in code reviews and design discussions. Establishing a structured routine and proactively seeking feedback can also help in staying aligned with project goals and team expectations.

What are the most commonly searched types of Algorithm Engineer jobs in North Carolina?

The most popular types of Algorithm Engineer jobs in North Carolina are:

What job categories do people searching Remote Algorithm Engineer jobs in North Carolina look for?

The top searched job categories for Remote Algorithm Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Remote Algorithm Engineer jobs?

Cities in North Carolina with the most Remote Algorithm Engineer job openings:

Principal Data Scientist

Redhat

Raleigh, NC • On-site, Remote

$147K - $243K/yr

Full-time

Re-posted 15 days ago


Job description

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

Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to distill meaningful insights from large, complex dataset.

What You Will Do:

  • Participate in end-to-end development, from requirements gathering to validation and implementation.
  • Work closely with data engineering and ML Ops functional roles to operationalize data science solutions through automation and continuous delivery.
  • Implement monitoring for data science solutions to identify model degradation, data drift, and concept drift, and ensuring that the model is maintaining an acceptable level of performance.
  • Directly engage with key decision makers across the business to iterate, test, and deliver solutions that improve the way we operate.

What You Will Bring:

  • Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of experience in the job offered or related role.
  • Must have three (3) years of experience with: developing production-grade data science models; statistics and machine learning models and algorithms; producing well-documented, well-formatted code using object-oriented design principles, including Python; feature engineering using statistical techniques; data querying and transformation, including SQL; and working with engineering and ML Ops team members to develop and operationalize data science solutions, including migrating prototypes into production environments.

#LI-DNI

The salary range for this position is $147,470 - $243,350/year. 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.


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.