Data Scientist (HPC Network Infra Optimization)

Posted 12 Days Ago
Hiring Remotely in United States
Remote
Mid level
Computer Vision • Information Technology
The Role
As a Data Scientist, you'll develop statistical models, analyze data, build data pipelines, and collaborate to provide data-driven insights.
Summary Generated by Built In

About the job

Delart is home to a team of world-class engineers and project leaders dedicated to developing the next generation of advanced networking technologies, consumer devices, and innovative technology solutions. Trusted by some of the world’s leading technology companies, we deliver highly scalable, mission-critical solutions that power both consumer and business applications globally. Since our founding in 2017, we have been at the forefront of designing cutting-edge networking, telecommunications, and consumer products, while driving end-to-end project execution and creating transformative technology applications.

Overview

Join a leading technology firm as a Data Scientist where you will harness your expertise in Python and statistical modeling to drive impactful data-driven insights. This role involves leveraging your robust skills in the Python data science stack and SQL to build and maintain data pipelines, develop statistical models, and provide actionable insights to cross-functional teams. A background in networking is advantageous, enriching the breadth of data-based optimization for high performance computing network infra solutions.

Responsibilities
  • Develop advanced statistical models to solve complex networking infra architecture and performance optimization problems.
  • Perform in-depth data analysis and visualization using Plotly and other tools.
  • Build, optimize, and maintain robust data pipelines to support large data volumes.
  • Collaborate with cross-functional teams to deliver data insights and recommendations.
  • Conduct comprehensive statistical analysis to inform strategic business decisions.
Minimum Qualifications
  • Proficiency in Python and its data science libraries, including NumPy, Pandas, and SciPy.
  • Strong expertise in statistical modeling and data analysis.
  • Hands-on experience with SQL for handling large datasets and complex queries.
  • Knowledge of data visualization tools and techniques, particularly Plotly.
Preferred Qualifications
  • PhD in Engineering, Mathematics, or a related field.
  • Experience with networking concepts such as routing, switching, and network protocols.
  • Proven track record in handling and processing large data sets.
  • Familiarity with additional data science or visualization tools.

Benefits

Delart provides competitive benefits and compensation across all regions where we operate. In the United States, our benefits package includes premium PPO and HMO medical insurance, dental and vision coverage, flexible spending accounts (FSA), life insurance, short- and long-term disability insurance, a company-matched 401(k) plan, and a generous paid time off policy.

Join us in shaping the future of technology. Apply today!

Delart is an equal opportunity employer. We celebrate diversity and are dedicated to fostering an inclusive workplace for all employees. We strictly prohibit discrimination or harassment of any kind based on race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.

Top Skills

Numpy
Pandas
Plotly
Python
Scipy
SQL
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The Company
Santa Monica, California
81 Employees

What We Do

Since our start in 2017, our team of world-class system and software engineers have participated in designing some of the most advanced telecommunication and consumer products in the world, and have developed these products with the focus and agility of a startup. We provide a range of research, development, and engineering services, including systems engineering, hardware and software, and developing networking and wireless communications standards. Some of the biggest tech companies entrust us with embedding these technologies into their next generation of products:

Technologies
- All generations of Wi-Fi (IEEE 802.11) in all frequency bands (2.4, 5, 6 and 60 GHz)
- Ultra-Wideband (IEEE 802.15.4z and WiMedia standards)
- Cellular technologies (4G/5G covering UE, RAN, Core)
- Millimeter-wave systems

Engineering
- Wireless systems architecture and design
- Standards and Intellectual Property development
- Hardware design and prototyping
- Embedded software development
- Application-level programming
- Systems testing and automation

Applications
- Wireless connectivity solutions for augmented/virtual reality (AR/VR) and other wearable products
- Fixed wireless access and backhaul, including millimeter-wave solutions
- Next-generation cellular infra for 4G/5G based on Open-RAN

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