Agricultural Livelihoods • Emergency Response and Recovery • Health • Education • Microfinance
5001 - 10000
2 days ago
Agricultural Livelihoods • Emergency Response and Recovery • Health • Education • Microfinance
5001 - 10000
• The Data Scientist will lead the development of appropriate data products for CRS’s program and sector teams • Coordinate with data scientists, program and sector staff to identify opportunities • Provide technical assistance to project and sector teams • Key in determining how effective, adaptive and innovative CRS’ data science practices are across the globe. • Engage with sector teams to transform and analyze data effectively • Share data insights and support the collective learning process in data science
• Master’s degree in mathematics, statistics, or data science • Minimum five years of work experience as a data scientist or data analyst • Demonstrable experience with linear algebra, probability theory, and statistical inference • Demonstrable programming experience with Python or R • Familiarity with databases and SQL • Familiarity with reporting software such as Power BI, Tableau, or others • Demonstrable experience with machine learning algorithms and ability to solve complex data problems • Experience with conducting geospatial data analyses and/or spatial analysis (preferred) • Required Languages - English, French and/or Spanish is a plus. • Must be willing and able to travel up to 35%. • Excellent relationship management skills • Very strong strategic, analytical, problem-solving and systems thinking skills • Very strong written and oral communication skills • Very strong presentation, facilitation, training, mentoring, and coaching skills • Proactive, resourceful and results-oriented • Preferred Qualifications - Experience working in international development and humanitarian assistance, ideally with an international NGO • Experience with matrixed reporting and working in fusion teams • Understanding of technical principles and concepts in program data methods and applications • Experience in the development of data products for project and sectoral teams • Demonstrated experience of knowledge transfer to diverse audiences through training, mentoring, and other formal and informal methods.
• Comprehensive benefits package including medical, dental, life insurance, vision • Generous retirement savings plan • Opportunity to work in a collaborative, mission-driven culture
Apply Now3 days ago
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