Summary
Date Posted: Wednesday, November 30, 2022 , Base Salary: Not Disclosed

JOB DETAILS:


About This Role
You will deliver insights and decision making tools that help shape cash delivery by determining which projects we take on, how we design them, and how we implement them.

Responsibilities Include
• Statistical analysis and predictive modeling. Own process end-to-end: implement statistical methods and build, train, and deploy predictive models to solve problems in cash delivery utilizing code (e.g., Python, R). Current priorities:
• Targeting. Implement and improve existing machine learning algorithms predicting poverty level from call-detail records (CDR) and geospatial data. This work enables us to remotely identify eligible recipients at scale, and has been highlighted in WIRED with findings published by our research partners in Nature.
• Risk prediction. Develop new risk prediction models that help us design programs and target recipient outreach to keep recipients and communities safe.
• Support data quality assurance. Work with the Senior Data Architect to design processes that ensure key metrics, models, and analysis are built on high quality data.
• Communication. Collaborate with leaders throughout the organization to define data product requirements, educate them about solutions, and make recommendations.
• This role has a high degree of autonomy and the ability to shape our process from the ground up by determining best practices and informing the data product roadmap.

Reports to: Senior Manager, Data

About You
• You are an analytical problem solver who knows how to:
• Frame a testable question from ambiguous requirements
• Gather, clean, and manipulate the required data
• Deliver answers that directly inform important decisions
• You Deliver Results That Impact Real-world Outcomes By
• Solving for user needs and constraints
• Understanding when to build complex models and when simpler solutions are more appropriate
• Communicating takeaways clearly
• You are intellectually curious and humble. You think probabilistically and measure the uncertainty of your predictions.

You are a mid-level to Senior Data Scientist with the following qualifications.
Required Qualifications
• 5+ years experience working with data querying languages (e.g., SQL) and statistical modeling software (e.g., Python, R)
• 5+ years experience as a Data Scientist or related position applying statistical and/or machine learning (ML) techniques, with a deep understanding of the key parameters that affect their performance
• Deep understanding of ML algorithms – ability to apply the appropriate methods, as well as benchmark and diagnose predictions to rapidly improve performance
• Proficient in spark, dask, and/or other packages for distributed computing
• Ability to travel and deploy to international, on premise locations for up to 1 month at a time

Preferred But Not Required Qualifications
• Bachelor's degree in a STEM or other quantitative field
• Helpful qualifications (we do not expect you to have all of these):
• Advanced degree in a STEM or other quantitative field
• Experience analysing call-detail records, geospatial (e.g., ArcGIS or Python geospatial stack), and/or social network data
• Experience developing an end-to-end machine learning pipeline with a scalable ML framework (TensorFlow, Torch, H2O, Spark MLib, scikit-learn)
• Familiarity with cloud-based solutions (AWS, GCP etc.) for storing and processing large, terabyte-scale, datasets
• Familiarity with poverty measurement methodologies – e.g., geographic poverty, poverty proxies, common administrative data sources, household survey data
• Experience building dashboards and visualizations, preferably in Tableau
• Experience mentoring and developing teams of Data Scientists


Work Hours: 8

Experience in Months: 60

Level of Education: Bachelor Degree

Job application procedure
Interested and qualified? Go to GiveDirectly on boards.greenhouse.io to apply


All Jobs

QUICK ALERT SUBSCRIPTION