Risk Prevention Data Scientist Virtual Volunteer Wildfire Prevention Derivatives, 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.

For questions and correspondence regarding codesigning a perfect volunteer role for yourself in the CrowdDoing systems change venture lab please email: "[email protected]"

Watch our video to learn more: Systemic change by CrowdDoing