Summary
Date Posted: Monday, October 24, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
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.

You are an analytical problem solver who knows how to:
• Frame a testable question from ambiguous requirements
• Gather, lean, 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

Work Hours: 8

Experience in Months: 60

Level of Education: Professional Certificate

Job application procedure
Click here to apply now

All Jobs

QUICK ALERT SUBSCRIPTION