Risk Prevention Data Scientist Virtual Volunteer Wildfire Prevention Derivatives, CrowdDoing
ORGANIZATION: Idealist.org
Please visit the new page to apply.
Recruiting Organization: M4A FOUNDATION - CROWDDOING
Risk Prevention Data Scientist Virtual Volunteer Wildfire Prevention Derivatives, CrowdDoing,
You can see a 35 minute video on prevention derivatives here:
https://www.youtube.com/watch?v=btdpHKlZj2c&feature=youtu.be
Risk Prevention Data Scientist Volunteer Forest Fire Prevention Derivatives, CrowdDoing, Duties and Responsibilities
Implementing processes that improve and lead to greater data quality
Conducting statistical analyses to develop strategies
Documenting all processes and research
Building new algorithms and model training
Executing projects involving analytics
Identifying data patterns and trends
Analyzing data to develop predictive models
Creating, managing, and maintaining analytically rigorous data
Noting anomaly detection and running diagnostics
Performing graphical model analysis
Possessing a solid machine learning foundation
Participating in software-focused marketing efforts
Risk Prevention Data Scientist Volunteer Forest Fire Prevention Derivatives, CrowdDoing, Requirements and Qualifications
Expert in statistical modeling/data mining
Experienced with SQL Server
Experienced in data analysis, predictive modeling, and data mining techniques
Able to analyze problems and strategize for better solutions
Excellent verbal and written communication skills
Able to multitask, prioritize, and manage time effectively
Comfortable in both a leadership and team-player role
Creative problem solver who thrives when presented with a challenge
Goal-oriented, organized team player
Encouraging to team and staff; able to mentor and lead
Bachelor’s degree in computer science, engineering, mathematics or related field; Master’s degree in computer science, mathematics or related field preferred
Four years of relevant industry experience
Strong familiarity and hands-on experience with SQL and statistical software packages (Python, R, SAS)
Knowledge of tools and techniques in machine learning
Expert in relational database design and concepts
Expert in one or more programming languages (C/C++, Python, Perl, Java)
Experience in genetic algorithms, logistic and linear regression, PCA, decision tree analysis and statistical methods
Up-to-date on latest industry trends; able to articulate trends and potential clearly and confidently
Good interpersonal skills and communication with all levels of management
Able to work in a fast-paced environment
The only way CrowdDoing.world can realize its impact potential is through virtual volunteers,service learners( http://blog.reframeit.com/service-learning-and-skilled-volunteering/), and micro-leaders ( https://real-leaders.com/leveraging-micro-leadership-to-make-aspirational-goals-achievable/) coming together.
If you have any questions about processes for joining CrowdDoing.world as a volunteer to support our efforts in systemic change please write to volunteerorientation@crowddoing.world
Stipend ProvidedFalse
Training ProvidedFalse
Housing AvailableFalse
Language/Cultral Support AvailableFalse
Wheelchair AccessibleFalse
Fee RequiredFalse
Fee Amount: None
This opportunity is recurring
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About Idealist.org
Location:
389 5th Ave, 9th Floor, New York, NY 11109, US
Mission Statement
To bridge the gap between intention and action in order to bring about social impact.
Description
Idealist is a leading online global resource for finding jobs in the nonprofit sector, as well as volunteer opportunities and graduate school programs for social impact.
CAUSE AREAS
WHEN
WHERE
3325 Besana DriveEl Dorado Hills, CA 95762
DATE POSTED
January 3, 2023
SKILLS
GOOD FOR
N/A
REQUIREMENTS
- WEEKENDS, FEW_HOURS_MONTH