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Risk Prevention Data Scientist Volunteer Forest Fire Prevention Derivatives, CrowdDoing

Publicado por
M4A FOUNDATION - CROWDDOING
|
El Dorado Hills, CA
Nuevo
|
Publicado hace 2 meses

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

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


"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"


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

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…

Detalles a Simple Vista

  • Horario
    Fines de semana
  • Flexibilidad
    Varias horas al mes
  • Frecuencia
    Recurrente

Ubicación

A distancia
El trabajo se puede realizar en cualquier lugar del mundo
Ubicación Asociada
3325 Besana Drive, El Dorado Hills, CA 95762, United States

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