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Join RMDS’ volunteer & internship program to make an impact,
network with 35,000+ data science professionals, and share your knowledge.
Overview
The RMDS volunteer & internship program is designed to help those interested in data science and AI to develop their skills and prepare them for a successful career. The program offers a variety of roles and responsibilities volunteers can undertake based on their skills, interests, and professional goals.
Join RMDS’ volunteer & internship program to make an impact, network with 35,000+ data science professionals, and share your knowledge.
Overview
The RMDS volunteer & internship program is designed to help those interested in data science and AI to develop their skills and prepare them for a successful career. The program offers a variety of roles and responsibilities volunteers can undertake based on their skills, interests, and professional goals.
Available Roles
RMDS has partnered with CDL recruit a student research group of data science for our monthly training webinars on research data.
Welcome to APPLY!
Job Description:
The students will learn from the practice and help prepare the monthly training webinars by participating in the following activities:
- Literature study
- Data analysis and visualization
- Workflow implementation for data analysis and visualization
- Knowledge graph development
- Presentations
- Publication
This webinar series will introduce some research data with a focus on China and discuss the difference from the US data. Each webinar will cover the following topics: (1) data sources, data collection, data category, definition, description, and interpretation; (2) alternative data and derivable data from other data sources, especially some big data sources; (3) comparison of datadifference between the US and China; (4) available tools for efficient data analysis; (5) discussions on pros and cons; and (6) data applications in research and teaching. Link to Eventbrite page here.
As a project impacter of the Data Science Team, you will work with a remote data science team and assist them to achieve the goals of given data science and research projects. According to your expertise, you will join different projects and serve as a role of data scientist, data analyst, research analyst, and many more.
Welcome to APPLY!
Job Description:
- Building analytical workflows on different data sources
- Working with team to assess data and AI maturity, develop analytical solutions
- Developing data science related courses and may deliver the courses when needed
- Performing initial analysis to assess the quality of the data, further analysis to determine of the meaning of the data
- Using advanced computerised models to extract the data needed
- Deliver insights and recommendations (e.g., trends, patterns, relationships, opportunities)
Qualification:
- Major in quantitative background such as Data science, Business Analytics, Applied Mathematics/Analytics, etc.
- Bachelor’s degree or above necessary
- Experience in data science work/projects and knowledge
- Experience in Python or R is required, other programming languages is a plus
- Strong communication and writing skills
- Understanding of Statistics and Machine Learning
- Strong interests in data science and a fast learner
- At ease working independently or as part of a team
As a project impacter of the Web Development Team, you will get valuable experience to work with a professional engineering team.
All motivated applicants are welcome to APPLY!
UI/UX Role
You will work closely with the Web Platform Coordinator and the Engineering team to flush out the user experience for our website, grmds.org and responsible for creating beautiful and intuitive solutions. All motivated applicants are welcome to apply.
Job Description:
- Assist with organization, documentation, and communication of design requirements
- Conceptualizing, wireframing, and executing new and existing features
- Research and design user interface elements such as menus, tabs, and icons
- Assisting with the creation of designs for mobile, desktop, and other platforms
- Research on current web design and UI/UX trends
- Create wireframes and mock-ups for new and existing features
- Generate vector and pixel-perfect assets for the development team
Qualification:
- Currently studying Graphic Design, Interaction Design, Visual Design, Human Computer Interaction, Human Factors or a related area
- Strong command of Adobe Creative Suite
- You understand how designs translate into HTML/CSS and JavaScript/jQuery.
- Experience utilizing website analytics tools to inform decisions
- Detail oriented and organized.
- Curious and passionate about design.
- Strong verbal and written communication skills and English language skills
- Not afraid to speak up when direction or help is needed.
- You have the working laptop/computer with Adobe Creative Suite programs installed
- Extra bonus: CSS and HTML skills
Software Developer Role
Job Description:
Being able to grow in the following ways, or bringing the following skills to the table will go a long way to enabling yourself to master the role, and be trusted to advance beyond.
- Develop a web application
- Take ownership, and solve problems.
- You do not need to be a domain expert, but you need to be willing to pursue the right solutions
- Take pride in their work quality and contributions, regardless of task or tool
- Willingness to become a student of new tools, and continuously learn
Qualification:
- Bachelor’s/Master's degree in Computer Science or related discipline
- Web frameworks/ Application programming interface (Drupal, Moodle, Wordpress)
- Front end (HTML, CSS, JS, jquery)
- Experience (or passion for learning about) responsive design
- Familiarity with cloud architectures is a plus (AWS)
- Proficiency in CSS
- Understanding data structures – Arrays, ArrayLists, Maps and Sets
- Familiarity with code versioning tools such as Git
- Understanding of Agile development lifecycle
- Experience working with MangoDB, MySQL
- Excellent communication skills
Want to join us?
RMDS Lab is seeking enthusiastic undergraduate and graduate students across the United States and Canada to become campus ambassadors. As an ambassador, you will serve as a bridge between RMDS and your campus peers. You will connect with like-minded students on campus who share an interest in RMDS’ services. You will also help to grow the community on our online platform for Data Science and AI. Working remotely with collaboration and support from RMDS’s marketing and other teams.
Qualification:
- Enrolled as a student at an accredited college or university
- Motivated, friendly, creative, problem-solving, self-aware, passionate
- Effective communicator who enjoys connecting and sharing with others
- Experience in sales, marketing or related field
- Experienced with social media: LinkedIn, Instagram, Facebook, WeChat
- Excellent organizational skills.
- Make a commitment to work at least 3 hours weekly
- A GPA of 3.0 or higher
- Involved in student group/organizations is preferred but not required
Want to join us?
For more information, please go to https://rmdslab.com/campus-ambassadors
IM DATA is a two-day virtual data science conference that includes inspiring keynote talks, panel sessions, pre-conference training, and exhibition. As an IM DATA volunteer, you will enjoy benefits such as: a complimentary virtual ticket, formally volunteer certification, networking opportunities, and chance to join our RMDS other volunteer/internship programs.
Since this is a virtual conference, you will have the following responsibilities:
-
Assisting each virtual session to make it more effective
-
Assisting virtual exhibitors
-
Assisting our pre-conference training virtual rooms
Are you interested?
For more information, please go to: https://www.rmdslab.com/im-data-2020/
Benefits
Steep discount or free access to a diverse array of training programs to grow professionally – Webinars, Workshops, Deep Dives, Online Course, etc.
Resume building – the people you will meet, the skills you will acquire, and the experience you will build up through a volunteering position can be invaluable in enhancing your resume
Recommendation letter from industry experts – RMDS & partners
Make new friends and network with other RMDS volunteers and data science professionals
Get professional team guidance and mentorship
Complimentary IM DATA 2020 virtual ticket
Meet our Outstanding Members
Yen-Chen Chou
University of Southern California
Data Science Project Impacter
- Built and standardized ETL module for recommendation system focus on collaborative filtering and saved at least 50% data fetching time.
- Created a recommendation system offline evaluation feature, including parameter tuning and modeling evaluation table for different business scenarios; trained collaborative filtering models using nearest neighbor methods and SVD using the created platform.
- Led a team to build COVID-19 risk score calculator for Los Angeles County and merge results to LA County COVID-19 risk map.
- Expanded and optimized COVID-19 risk score ETL pipeline with Point of interest (POI) data, footprint data, and LA county health data; reduced 90% time on data collection process with web scraping and hashing functions.
Shravani Kasralikar
University of California, Santa Cruz
Data Science Project Impacter
I really enjoyed working on the COVID Risk Score project for RMDS! I performed data analytics and also acted as a tech lead for the data collection and processing automation portion of the project. I learned much about management, how to create a deliverable product and how to make a product reproducible for future customer usage. Overall being a Data Science Impacter for RMDS has been a very fulfilling experience!
Shanshan Li
University of Southern California
Data Science Project Impacter
Through the COVID-19 risk score project, I have developed strong teamwork skills and gained hands-on experience to work with data to solve real-world problems and drive meaningful outcomes. And it was a great opportunity to gain experience on tuning complex machine learning models and creating data pipeline automation. Overall, I got a better understanding of the data science project lifecycle.
Sue Suyeon Ryu
University of Southern California (USC)
Data Science Project Impacter
The project coronavirus which RMDS data scientists are bringing their capabilities and knowledge together to provide meaningful understandings of the SARS-CoV-2 to society. My role was researching and providing initial assessments of the epidemiological SIR prediction model that RMDS lab built. It was such a valuable experience for me to be working with these great data scientists, and I felt energized being involved in this project as everyone is unbelievably passionate about what they do.
Ari Falkne
DoorDash, Bird, etc.
Data Engineer Volunteer
I enjoyed learning about stochastic modeling, particularly the MCMC. I did data ingress. I learned a lot about stats.
Dong Wook (Sam) Ko
University of Southern California (USC)
Data Science Project Impacter
The project coronavirus was a perfect opportunity to not only apply what I have learned in classrooms in solving some real-world problems but also work in a structured setting with people from different backgrounds. I have definitely improved my skill sets from both working on my assigned tasks and learning from what other team members' works. Overall, it was a very rewarding experience to tackle the problem that is affecting the entire world with my knowledge and skills.
Yanzhe Yin
University of Georgia
Data Scientist - Internship
I mainly contribute to the data modeling on creating predictions for COVID-19 county-level positive cases and some data collection processes. I'm impressed by the passion of the whole group and inspired by the ideas of people from different disciplines. Now I'm more familiar with different models and more experienced in collaborating with a large group of people.
Lingrou (Yoki) Wang
University of Southern California
Data Science Project Impacter
I assisted with exploratory data analysis and tried to identify patterns before and after the social distancing policy took place. I also aggregated county-level data with location and demographic information that prepares for data modeling. Last but not least, I provided help in outreach and planning of the data science competition.
Yangzi Zhang
University of Southern California
Data Science Project Impacter
It is a great learning opportunity. Through working in the data analytics team, I had the chance to interact with a lot of talented people, contribute to the project, and continue to learn.
Application Process
1. Apply - fill out registration form [Required]
2. One-on-one online interview if you are qualified [Required, within 7 business days]
3. Small testing task [Optional, will let you know in step 2]
4. If YES, you will be informed within 3 business days
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