Risk Prevention Data Scientist Volunteer Forest Fire Prevention Derivatives, CrowdDoing

Risk Prevention Data Scientist Volunteer Forest Fire Prevention Derivatives, CrowdDoing,
See more detailed background on CrowdDoing's forest fire prevention derivatives
https://drive.google.com/file/d/1dBp_HUr-tCCNaeGoSDfPrirRPbaoV3X4/view?usp=sharing
Risk Prevention Data Scientist Volunteer Forest Fire Prevention Derivatives, CrowdDoing,
Bobby Fishkin, lead author

In 2018, Sacramento was named the "the Most Polluted City on Earth" due to "smoke from Camp Fire," This proposal aims to prevent that from happening again through adopting a systemic approach and collaborating with stakeholders to actively prevent future such events. The insurance industry, along with institutional chief risk officers, have begun to recognize the importance of moving from "loss compensation to loss prevention."

CrowdDoing and Project Heather propose launching a prevention derivative with two new stakeholders: (a) contingent payers who pay in proportion to the reduction in risk, and (b) impact investors who finance social innovations in which their return is similarly proportional to the reduction in risk. It will build on existing precedents for contingent contracts involving social- innovation-based risk prevention.



Risk Prevention Data Scientist Volunteer Forest Fire Prevention Derivatives, CrowdDoing, Duties and Responsibilities
Managing analytics database
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
Bachelors degree in computer science, engineering, mathematics or related field; Masters 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

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