- Organization
- M4A Foundation - CrowdDoing
Blockchain - Data Scientist
- Duration
- Recruiting through Oct 30th
- Location
- El Dorado Hills, CA
Opportunity Details
Ongoing
Remote
Recruiting through Oct 30th
El Dorado Hills, CA 95762

About this Opportunity
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 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.
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
"To help support you joining the right part of CrowdDoing for you, please use this form: https://docs.google.com/forms/d/e/1FAIpQLSftd6E0tyV2uq7mMty1rZ80BB2MSGhbnof9gRBvaQXbrttIkg/viewform?usp=sf_link"
Watch our video to learn more: Systemic change by CrowdDoing