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.
Travel- Must be willing and able to travel up to 35%.
Knowledge, Skills and Abilities (KSAs)
Excellent relationship management skills with ability to influence and get buy-in from people not under direct supervision and to work with individuals in diverse geographical and cultural settings.
Very strong strategic, analytical, problem-solving and systems thinking skills with capacity to see the big picture and ability to make sound judgment
Very strong written and oral communication skills, particularly in terms of communicating complex technical approaches to no-technical audiences
Very strong presentation, facilitation, training, mentoring, and coaching skills
Proactive, resourceful and results-oriented
Preferred Qualifications – (If applicable)
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, such as research, monitoring and evaluation, or collection and analysis of data. Knowledge of sectors such as agriculture, health, education, humanitarian response, WASH, and microfinance.
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.
Agency REDI Competencies (for all CRS Staff):
Personal Accountability – Consistently takes responsibility for one’s own actions.
Acts with Integrity - Consistently models values aligned with CRS Guiding Principles and mission. Is considered honest.
Builds and Maintains Trust - Shows consistency between words and actions.
Collaborates with Others – Works effectively in intercultural and diverse teams.
Open to Learn – Seeks out experiences that may change perspective or provide an opportunity to learn new things.
Agency Leadership Competencies:
Lead Change – Continually looks for ways to improve the agency through a culture of agility, openness, and innovation.
Develops and Recognizes Others – Builds the capacity of staff to reach their full potential and enhance team and agency performance.
Strategic Mindset – Understands role in translating, communicating, and implementing agency strategy and team priorities.
WHAT WE OFFER
CRS offers a comprehensive benefits package including medical, dental, life insurance, vision, generous retirement savings plan and the opportunity to work in a collaborative, mission-driven culture that is committed to improving the lives of the poor throughout the world.
CRS is proud to be an equal opportunity/affirmative action employer. Selection and hiring decisions are made without regard to sex, sexual orientation, gender identity, race, age, disability, religion, national origin, color, veteran status or any other protected area.
