THE PURPOSE:

The Data Scientist / Data Analyst will be part of Machine Intelligence & Analytics Group, within the Software Engineering Division. This team works closely with all other teams to develop, deliver and maintain data driven products and backend analytics platforms for the discovery, interpretation, communication, and exploitation of meaningful patterns in data. In addition, this team will develop and maintain an analytic pipeline for acquisition, storage, and processing data types of interest to feed real-time artificial intelligent system behaviors. The Analytics team will architect data systems supporting machine learning applications, develop custom toolchains for analysis and exploration, and work with DevOps and IT to host and scale intelligent applications.

Ultimately, we will design reliable, scalable, real-time (or near-real time) applications that make Hyperloop One a reality. We are seeking candidates with various levels of experience to join our team of qualified, diverse individuals at our Los Angeles facility. 

THE ROLE:

• Perform extract, transform, and load operations on large datasets from many complex, heterogeneous data sources.
• Explore, interpret, and analyze datasets for patterns of interest and opportunities for incorporating data driven machine intelligence to vehicle, transportation, and logistics software systems.
• Research, evaluate, and determine the best fit of analytical tools and techniques.
• Develop or modify existing machine learning tools and libraries as needed.
• Develop visualizations of key parameters and relationships to provide insight into data and underlying systems.
• Develop, evaluate and adapt advanced machine learning algorithms to transportation and logistics problem domains.
• Design and create data mining architectures/models/protocols, statistical reporting, and data analysis methodologies.
• Enhance, scale, and deploy real-time analytics capabilities, models, and visualizations within the production environment on production compute architecture.
• Develop metrics and evaluation criteria to characterize and quantify system performance and benefits of machine intelligence.
• Develop, update, and maintain design specifications and end user documentation.
• Collaborate in a fast-changing environment and to communicate clearly and effectively with colleagues who range from data scientists, developers, DevOps, hardware engineers, and product managers.

CANDIDATE PROFILE:

• Strong written and oral communication skills.
• Strong interpersonal skills.
• Ability to conduct research into issues and products as required.
• Ability to present ideas in user-friendly language and visuals.
• Highly self-motivated and directed.
• Keen attention to detail.
• Proven analytical and problem-solving abilities.
• Ability to effectively prioritize and execute tasks in a high-pressure environment.

MINIMUM REQUIRED EXPERIENCE:

• Bachelor’s degree in Computer Science or a highly quantitative discipline.
• Strong programming ability with Java, Python, and web based technologies.
• Strong knowledge in software engineering principles.
• Strong background in Operations Research, Optimization, Computer Vision, Artificial Neural Networks, Bayesian Networks, Markov Decision Processes, Support Vector Machines, and other cutting-edge machine learning and AI methodologies.
• Fast prototyping skills, including comprehensive feature integration during all cycles of development.
• Hands on experience and expertise with cloud computing services (AWS, Azure, etc.)
• Working knowledge in manipulating large datasets and performing data analytics with machine learning tools.
• Experience with relevant open source, commercial, and scientific software packages.
• Self-starter with the ability to work in a high paced dynamic environment with only general oversight and direction.

PREFERRED EXPERIENCE:

• Master’s degree or PhD in Computer Science or a highly quantitative discipline.
• Strong mathematical foundation in statistics and linear algebra.
• Strong programming ability with C, C++
• Experience with the following software packages: CUDA, Tableau, OpenCV, ROS, TensorFlow, Café, Alchemy, SAS, Genie, Deep Dive, PostgreSQL, NoSQL, Apache products (Spark, Hadoop, Hive, etc.)
• Ability to provide solutions to a variety of technical problems of increasing scope and complexity.
• Domain expertise and knowledge of transportation, logistics, and autonomous systems.
• Excellent communication skills.

Hyperloop One is an Equal Employment Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Hyperloop One will consider qualified applicants with criminal histories consistent with the “Ban the Box” legislation.