Data Scientist - Computing Hardware Manufacturer

Culture Impact • Las Vegas, NV

7d

About The Position

Our client is a deep tech startup building cutting-edge computing hardware and solutions. They are at the forefront of innovation, driving advancements in areas such as high-performance computation, graphics cards, and data center infrastructure. Their customer-driven approach and commitment to continuous improvement are key to their success. They are building a new class of high performance computing, specifically targeting AI/ML solutions, but quickly expanding into additional verticals such as gaming, logistics, material sciences, and other industries with high performance compute needs. This is a rare opportunity to join a well-funded startup working on some of the biggest problems facing our society today. They are committed to building ethical, environmentally friendly computing systems with a customer-centric focus. You will have a career-defining chance to influence some of the most important decisions the company makes in our early stages.

Requirements

• Master's or Ph.D. degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline
• Proven experience in applying advanced statistical and machine learning techniques to solve complex business problems
• Proficiency in programming languages such as Python, R, or Scala, and familiarity with data manipulation and visualization tools
• Strong problem-solving skills, critical thinking, and the ability to work collaboratively in a fast-paced, cross-functional environment
• Excellent communication and presentation skills to effectively convey insights to both technical and non-technical stakeholders
• Only candidates authorized to work in the United States without sponsorship will be considered.

Nice To Haves

• Experience in the computing hardware or manufacturing industry is preferred, but not required

Responsibilities

• Collect, clean, and analyze large, complex datasets from various sources to extract meaningful insights
• Develop and implement advanced statistical and machine learning models to solve complex business problems
• Collaborate with engineering, operations, and product teams to translate data-driven insights into actionable strategies
• Design and deploy data visualization dashboards to effectively communicate findings and recommendations
• Stay up-to-date with the latest data science techniques, tools, and technologies to continuously improve our data-driven capabilities
• Contribute to the development of data science infrastructure, including data pipelines, model deployment, and monitoring
• Mentor and train junior data scientists, fostering a culture of continuous learning and innovation

What This Job Offers

• Career Level: Mid Level