The 2018 hurricane season has been extraordinarily active in parts of the U.S., with Hurricane Florence currently impacting millions in the Carolinas. As this natural disaster unfolds, the staff here at VolunteerMatch is doing its part to ensure that, if you are in an affected community, you are prepared and safe. And if you are looking to help with disaster relief efforts, you know about the most effective ways to contribute.
This is a Virtual Opportunity, with no fixed address.
Min Qualifications required: Bachelors / Masters Min Experience Required: (in no. of yrs) 1+ Experience: Experience doing quantitative analysis/modeling, technical/coding work Minimum Volunteer hours required: (in hrs per week) 15-20
Project Name: Sweetbridge Project Duration: (in months) 6-12 months (Ongoing) Project outline: The Social Enterprise is a community of systems practitioners working on a myriad of mission-driven projects, social businesses, investment funds, philanthropic programs, purpose-based communities, and other initiatives that represent values-based and regenerative economic models for the 21st century. Project: The Sweetbridge Alliance provides a common economic framework to projects. This framework creates positive feedback loops that increase value and adoption. Combined forces for better results, faster.( https://sweetbridge.com/alliance) Sweetbridge : - is a diverse consortium of investors, innovators, lawyers and creatives with a shared mission to transform financial markets for the betterment of people and the planet.
Role Summary: Should be able to support the continued growth of our Data Science and Analytics team. Should be able to exhibit a working knowledge of experimental design, hypothesis testing, and general estimation procedures. Essential Tasks: Conducting data mining Building predictive models Developing proprietary algorithms and assets for clients Drawing key insights to drive critical decision making Creating high quality data driven presentations Skills & Competencies: Superb communication and presentation skills Ability to think strategically, analytically, and proactively about diverse business problems Passion for managing the quality & accuracy of analytics, including checking your and others’ work Experience with predictive analytics / data science is a plus
Software tools & Program knowledge: Knowledge on blockchain technology, Exposure to big data tools such as Hadoop, Hive, Sqoop, Pig, Impala or Spark is a big plus