Job Summary:

The Data Scientist - Personalization will use data mining and statistical analysis on massive datasets to construct machine learning models that help us understand things and come up with new ideas.

 This job requires using advanced analytics and working with technical teams to turn data into important information that can help people make good decisions in human development programs.

Job Description

About FHI 360:

FHI 360 is a global nonprofit organization that works to improve people's lives by finding solutions that are integrated and driven by local needs in the areas of health, education, nutrition, and economic development. Since 1971, we have worked in more than 70 countries, using data-driven methods and working together with others to make a lasting difference and open up new opportunities for vulnerable communities throughout the world.

Main Duties and Responsibilities:

• Use data mining methods and statistical analysis on big structured and unstructured datasets
• Create machine learning models utilizing distributed data processing methods
• Write, test, and keep scientific models and algorithms up to date in R or Python.
• Process, clean, and check the accuracy of data for analysis.
• Find trends, patterns, and differences in large datasets.
• Work together with the Data Science Guild and others from your department.
• Turn business needs into results with data science.
• Put model outputs into systems that are already in use
• Create solutions for mathematical and statistical modeling.
• Help predict the quality of data outcomes and the resources needed
• Use approaches for data profiling and visualization to describe the features of data.
• Share your results and insights with people in the business.
• Show trends and patterns in complicated datasets clearly and concisely.
• Make suggestions based on the examination of the data.
• Make sure that modeling solutions are long-lasting and useful.
• Work with data that isn't structured, like streams and pictures

Skills and Qualifications:

• A first degree in information studies, information technology, or a related discipline
• 3–4 years of experience dealing with unstructured data
• Knowledge of data flows, architecture, ETL, and data processing
• Experience finding patterns and mining data in big datasets
• You should be good at programming in machine learning languages like R or Python. You should also know how to use Matlab, Java, or a similar language.
• Understanding the Hadoop ecosystem (HDFS, Spark, Kafka)
• Familiar with data science toolkits like SAS, R, and SPSS
• Being good at using data visualization tools like Power BI and Tableau
• Experience in software development and engineering
• Knowledge of the processes and products used in financial services
• Knowledge of technical business intelligence
• Understanding of IT infrastructure and data principles
• Experience managing projects
• Experience constructing models (credit scoring, propensity models, churn)
• Skills in analyzing data and managing databases.
• Skills in acquiring information and doing research.

Skills in technology:

• ETL processes
• Data analysis and mining
• Database administration
• Data integrity management
• Knowledge classification
• Machine learning modeling
• Statistical analysis
• Data visualization
• Hadoop Ecosystem
• Programming (R, Python)

Behavioral Skills:

• Using practical methods
• Making information clear
• Constructively questioning ideas
• Paying attention to details
• Thoroughly examining information
• Looking at options
• How to talk to people effectively
• Skills for Understanding Data
• Meeting Deadlines

Professional Development:

FHI 360 offers:

• Advanced training in data science
• Exposure to global health and development
• Help with getting professional certification
• Experience working on projects with people from different fields
• Opportunities for careers throughout the world
• NGO benefits package that is competitive

How to Apply:

If you're interested, click the APPLY button below to go to the FHI 360 application portal and fill out the form.

Apply Now

Deadline for Applications: October 21, 2025

Please note that FHI 360 is an equal opportunity company that values diversity and inclusion in the workplace. We welcome applications from qualified data professionals who are passionate about utilizing analytics to make a difference in society. We will only contact those who have been chosen for interviews.