Data Scientist

March 29

🔄 Hybrid – Manhattan

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Logo of Applied Physics

Applied Physics

McKinsey of Physics with a Bell Labs IP Arm

astrophysics • general relativity • aerospace defense • quantum mechanics • material science

11 - 50

Description

• Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems. • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team. • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs. • Develop and integrate components for creating an operational information and knowledge discovery system.

Requirements

• Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience. • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management. • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment. • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms. • Ability to successfully handle multiple time-sensitive projects across several disciplines. • Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.

Benefits

• Competitive salary and benefits package • Flexible work hours • Opportunities for growth and career development

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