We Are Scala Computing
We are on a mission to
Empower organizations to harness the transformative power of AI-driven Big Compute effortlessly, cost-effectively, and efficiently.
We eliminate the complex barriers to entry for high-performance network computing, enabling engineers, researchers, and developers to concentrate on advancing their AI applications, not managing the compute environment.
Our Industry Leaders
Scala Computing is led by a team who bring experience in taking their prior companies to IPO, scaling past portfolio companies into significant acquisitions, and building high-performance delivery teams globally.
Experience Matters
The Scala Computing team includes computer scientists, mathematicians, and enterprise network industry veterans experienced in High Performance Computing (HPC) and Artificial Intelligence (AI) computing systems. We are focused on the design of efficient parallel computing, robust and rapid deployments, large scale network interconnects, and fast storage.
Collectively, we hold several patents, have published numerous papers in renowned journals, and have received several prestigious awards and grants for research in High Performance Computing. These include awards from the U.S. DOE, NSF, NIH, ARO, NYS, China’s Ministry of Science, HPC2, Siemens, Oracle, and Intel, among others.
Work With Scala
Data Scientist
Job Description: Scala Computing is seeking a skilled Data Scientist to join our dynamic team. The ideal candidate will possess strong analytical skills and experience in developing data-driven solutions, with a focus on enhancing our high-performance computing platform's AI capabilities.
Key Responsibilities:
- Develop and implement machine learning models to improve the performance and scalability of our platform.
- Analyze large datasets to extract insights and inform decision-making processes.
- Collaborate with cross-functional teams, including software engineers and AI researchers, to integrate data science solutions into our platform.
- Design and conduct experiments to evaluate the effectiveness of machine learning models and algorithms.
- Communicate findings and insights to stakeholders through visualizations and reports.
Qualifications:
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Proven experience in data science and machine learning, including hands-on experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong programming skills in Python, R, or similar languages.
- Experience with data processing tools and platforms such as SQL, Hadoop, or Spark.
- Excellent problem-solving skills and the ability to work with large, complex datasets.
- Strong communication skills and the ability to effectively present data insights to both technical and non-technical stakeholders.
- Experience with high-performance computing environments and AI-driven applications is a plus.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge technologies in AI and high-performance computing.
- Collaborative and innovative work environment.
- Professional development and growth opportunities.
Support Services
Standard Support
24/7 Web Portal access for opening new cases, tracking new cases and providing communication during the time the case is active
24/7 email support access
Basic runtime questions on deploying software for execution, issue with runtime platform, and other runtime related topics
Robust 24/7x365 operations that demand maximum availability
Extended Support
Includes everything in Standard Support plus:
5/12 Telephone Support, 6am – 6pm Local Time, Monday - Friday
24-hour response time
Premium Support
Includes everything in Standard Support plus:
24/7 phone support for 365 days
4-hour response time