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Data Scientist & Advanced Analytics Team Coordinator for FEWS NET 8 – US based remote

Remote | Virginia | Arlington

  • Organization: Tetra Tech - Modern Cooking for Healthy Forests
  • Location: Remote | Virginia | Arlington
  • Grade: Mid level - Mid level
  • Occupational Groups:
    • Statistics
    • Information Technology and Computer Science
    • Nutrition
    • Scientist and Researcher
    • Managerial positions
  • Closing Date: 2024-05-31

Tetra Tech International Development (International Development Jobs - Tetra Tech), is currently accepting expressions of interest from qualified candidates for a potential Data Scientist and Coordinator position for the FEWS NET 8 (Famine Early Warning Systems Network) Decision Support Contract. This position will be based in Arlington, Virginia. Hybrid and remote options are available.

Position Description: FEWS NET is dedicated to delivering early warning of hazards, food insecurity, vulnerability, and famine to the US Government, USAID, national governments, and various regional, international, and non-governmental organizations. FEWS NET 8 will continue the critical work that FEWS NET has delivered for over 30 years, emphasizing global coverage and innovation in food security monitoring and assessment. Managed from a headquarters office in Washington D.C., FEWS NET 8 will extend its reach beyond traditional geographical limitations, providing decision support services for over 30 presence countries and global early warning of food security and humanitarian crises.

The Data Scientist & Advanced Analytics Team Coordinator will orchestrate the analysis of complex datasets to drive predictive modeling and insights into food security trends. They will ensure data quality, govern cross-functional data-sharing practices, and leverage analytics to inform project strategy and decision-making.

Responsibilities:

* Design and manage large-scale databases relevant to food security analytics, ensuring data integrity and accessibility.

* Utilize advanced analytics and machine learning techniques to develop predictive models for identifying regions at risk of food insecurity and famine.

* Coordinate interdepartmental data sharing, ensuring cohesive data collection strategies across different project facets.

* Lead the analysis of complex data sets to provide insights on food production, distribution patterns, and consumption trends.

* Develop and implement data governance frameworks, including data privacy and security protocols.

* Collaborate with field teams to validate models and findings with on-the-ground data.

* Translate complex data findings into actionable recommendations for technical and non-technical stakeholders.

* Provide training and capacity building for project staff in data management and analysis tools and best practices.

* Stay abreast of the latest developments in data science and bring innovative data solutions to the project.

* Present findings to key stakeholders through comprehensive reports and visualizations.

Minimum Qualification Requirements:

* Minimum graduate degree in a relevant field such as data science or computer science.

* Minimum of 5 years of experience in data science, data coordination, and analysis related to the humanitarian relief or international development fields.

* Proven track record developing data and analysis processes and systems linked to effective decision support functions.

* Proven experience in leadership roles and cross-functional team training in data science concepts.

* Understanding of USAID or USG data policies and procedures strongly preferred.

* Excellent communication, interpersonal, and leadership skills.

* Experience working in a multicultural and diverse environment.

* Fluency in English; proficiency in additional languages such as French or Spanish is advantageous.

* Current U.S. work authorization is required at the time of application.

To be considered, please submit the following:

* Cover Letter

* CV

Please indicate where you saw Tetra Tech’s IDS ad posted.

Apply online at:

https://tetratech.referrals.selectminds.com/intdev/jobs/data-scientist-advanced-analytics-team-coordinator-for-fews-net-8-%E2%80%93-us-based-remote-41635

Please ensure that only the requested documents noted above are submitted. Only candidates who have been selected for an interview will be contacted. No phone calls, please.

Tetra Tech International Development is committed to safeguarding and technical excellence in equality and social inclusion. Our team of dedicated Gender, Youth, and Social Inclusion (GYSI) advisers work closely with our staff and partners to share international norms and best practices to improve the livelihoods of the world’s most marginalized groups. Tetra Tech International Development is especially interested in candidates that can contribute to our Diversity, Equity, and Inclusion (DEI) initiatives that aim to expand inclusion and an authentic sense of belonging to all our staff regardless of background.

Reasonable Accommodations:

We are dedicated to hiring an inclusive workforce. If you would like to request reasonable accommodations during the application process, please visit Tetra Tech’s Disability Assistance Page or contact our Global Talent Operations team. Our recruitment team looks forward to engaging in an interactive process to provide reasonable accommodations for candidates.

Tetra Tech combines the resources of a global, multibillion-dollar company with local, client-focused delivery in more than 550 locations around the world. Our reputation rests on the technical expertise and dedication of our employees — 27,000 associates working together to provide smart, scalable solutions for challenging projects. We are proud to be home to leading technical experts in water, environment, infrastructure, resource management, energy, and international development. We are an Equal Opportunity Employer/Affirmative Action/Americans with Disabilities/Veterans employer.

We do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify.
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.

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