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Basic Qualifications
Bachelor's or Master’s students pursuing courses in Data Analytics, Data Science, Mathematics, Statistics, Computer Science, Economics, Engineering, Math, Physics or other related analytical fields!
Preferred Qualifications
Must have at least one semester/quarter remaining - a graduation date between Winter 2023 - Winter 2024!
Coding proficiency in SQL, Python and AB Testing
0-2 years of prior work experience in an analytical setting
Organized, detail oriented and able to work independently on multiple projects at once
Ability to communicate effectively with both technical and business partners
Proficiency with office efficiency tools including email, web browser, web apps, database search, spreadsheets/word processors (Google Apps)
Self starter, taking initiative keeping relevant partners in the loop
Open to feedback, excellent at implementing newly learned ideas and concepts
Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)
Basic Qualifications
Degree program in Computer Science (CS), Computer Engineering (CE), Robotics, Mechanical Engineering, Electrical Engineering Technology, Applied Mathematics or other algorithmic-centric discipline
Completion of at least junior year of degree program is required
GPA of 3.5 or higher
Must be eligible and available for a full-time (40 hours per week) employment for approximately 6 months between January to June 2023
Graduating after December 2023
Ability to collaborate effectively with a diverse, talented team
Preferred Qualifications
Currently enrolled in a Master’s of Science or PhD program in Computer Science (CS), Computer Engineering (CE), Mechanical Engineering, Electrical Engineering Technology, Robotics, Applied Mathematics or other algorithmic-centric discipline
Outstanding oral and written communication skills
Experience with creative problem solving and getting things done
Relevant industry or academic research experience
Experience with robotic kinematics, dynamics, path planning, motion planning and control
Experience with C++, Python, or Matlab, ROS, OpenCV, or PCL
A working knowledge of analysis of algorithms and computational complexity
Solid understanding of standard data structures, algorithms, and software development
Students completing a Bachelor’s or Master’s degree between December 2022 and July 2023
Preferred majors: Data Science, Computational Science, Applied Mathematics, Statistics
GPA of 3.2 or greater
Experience with programming such as R, Python, SQL, etc.
Strong mathematical/statistics understanding
Experience in data collection & analysis
Desire and motivation to develop a career as a future leader in Data Science
Related work or internship experience helpful
Ability to lead, plan, and prioritize projects
Proven leadership skill, learning agility, and flexibility
Understanding of existing & new technologies
Applicants must be authorized to work in the United States without restriction
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