Risk Prevention Data Scientist Virtual Volunteer Wildfire Prevention Derivatives, CrowdDoing

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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