Medicinal Foods, Data Scientist Volunteer

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Recruiting Organization: M4A FOUNDATION - CROWDDOING

Medicinal Foods for Stress, Sleep and Anxiety is recruiting Medicinal Foods, Data Scientist Volunteer.

We're helping to build medicinal foods literacy and citizen science of foods & herbs for Stress, Sleep and Anxiety.

Here is the main package for your review to determine if you are interested: docs.google.com/document/d/1bT47d5eDE2NVW606d1Y7TeKp1hDHyP_JBuJ94Cyy0B4/edit?usp=sharing .

Please feel free to view this powerpoint to get an overview of this initiative: docs.google.com/presentation/d/12aEqwiRctIx3QcvK6HNFy4uJ5TgRffxQ7xPLEINNyJw/edit?usp=sharing

Did you know that there are thousands of foods and herbs that can impact our mental health in positive ways? CrowdDoing is a global virtual collaboration to research medicinal foods for stress, sleep and anxiety. Our project has the goal of advancing integration across fields of research and to build medicinal foods literacies in the population. We're recruiting virtual volunteer service learning project managers.

This role is for Medicinal Foods, Medicinal Foods Service Learning Micro-Leadership Project Management. CrowdDoing aims to make each role flexible, allowing you to become engaged according to your own schedule. You will have the chance to assume micro-leadership responsibilities in keeping with your aspirations and availability. https://real-leaders.com/leveraging-micro-leadership-to-make-aspirational-goals-achievable/.

Please get in touch if you would be interested in supporting us through the role of:

Medicinal Foods, Data Scientist Volunteer

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our initiative. We will rely on you to build data products to extract valuable business and impact insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our initiative analyze information to make better decisions about recommendations.

Medicinal Foods, Data Scientist Volunteer Responsibilities

Identify valuable data sources and automate collection processes

Undertake preprocessing of structured and unstructured data

Analyze large amounts of information to discover trends and patterns

Build predictive models and machine-learning algorithms

Combine models through ensemble modeling

Present information using data visualization techniques

Propose solutions and strategies to business challenges

Collaborate with engineering and product development teams

Medicinal Foods, Data Scientist Volunteer Requirements

Proven experience as a Data Scientist

Experience in data mining

Understanding of machine-learning and operations research

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

Analytical mind and business acumen

Strong math skills (e.g. statistics, algebra)

Problem-solving aptitude

Excellent communication and presentation skills

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Stipend ProvidedFalse

Training ProvidedFalse

Housing AvailableFalse

Language/Cultral Support AvailableFalse

Wheelchair AccessibleFalse

Fee RequiredFalse

Fee Amount: None

This opportunity is recurring