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Data Scientist

Kashainc · Active · BambooHR

Job facts

FieldValue
CompanyKashainc
TitleData Scientist
Normalized title-
Department / teamEngineering
LocationCairo, Nairobi, Egypt
Work model-
Employment typeEmployee Permanent Probation
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2025-04-16 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Kashainc.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Cairo.Open
Department jobsActive postings in Engineering.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyKashainc
Sourcefa721935-11da-4d74-8113-00a4ef9d7873
ATS providerBambooHR

Description

About Kasha Kasha will disrupt the way that people in emerging markets get the health products they need by turning global health supply chains upside down. We are on our way to becoming Africa’s leading platform for last-mile access to health products and services used by enterprises, consumers, resellers, and health facilities. Kasha focuses on the lower-income mass market population, selling health and household goods and delivering those products to the last mile through our Kasha Agents and logistics networks. Customers can order using an omnichannel mobile platform that is built to be highly accessible around the country, reaching even typically offline customers via our digital channels. Kasha also works with manufacturers and global health organizations, operating as a service channel for visibility on distribution, performance data, consumer insights, and last-mile access. Kasha was founded in July 2016 in Rwanda, and operates in East, South, Central, and West Africa. You can learn more about us at  Kasha Global Inc. About the Role The Data Scientist will leverage AI/ML-driven predictive analytics to support the development and deployment of Proof-of-Concept (PoC) and Minimum Viable Products (MVPs) focused on NCD (Non-Communicable Diseases) patient retention, delivery forecasting, behavioral adherence, and AI-powered virtual assistants. The role involves building machine learning models for risk scoring, adherence prediction, and supply chain optimization while integrating insights into existing healthcare and logistics dashboards to improve patient outcomes and operational efficiency. Role can be based in Egypt, Rwanda, Kenya and/or South Africa. Responsibilities Predictive Analytics & AI Models Design and develop AI-driven risk scoring models to identify NCD patients at risk of disengagement. Build predictive models to forecast eligibility transitions for improved patient care pathways. Implement a Machine Learning-based adherence segmentation model to analyze patient behavior patterns. Delivery Forecasting & Supply Chain Optimization Develop an AI-powered delivery forecasting model to predict medication delivery accuracy and potential delays. Integrate predictive insights into logistics and warehouse management systems to improve proactive planning. AI-Powered Virtual Assistants Develop and deploy AI-powered chatbots and virtual assistants for medication reminders, real-time patient engagement, and adherence support. Enable self-service patient platforms for medication-related queries and preference management. Data Engineering & Infrastructure Design and optimize Python-based ETL pipelines for data flow between AI models and healthcare dashboards. Work with MS Dynamics integrations to enhance AI-driven decision-making in clinical and operational processes. Ensure seamless API integrations for real-time data exchange between predictive models and user-facing applications. Monitoring, Validation & Deployment Develop real-time monitoring mechanisms for risk stratification insights and adherence dashboards. Optimize CI/CD pipelines for AI/ML model deployment and automate API-based data updates. Conduct model validation, A/B testing, and performance tuning to refine PoC models before MVP scaling. Collaboration & Knowledge Sharing Work closely with healthcare professionals, supply chain teams, and DevOps engineers to align AI models with operational needs. Provide executive-level data insights through Jupyter notebooks and visualization dashboards. Contribute to AI/ML best practices through code reviews, documentation, and team knowledge sharing. Qualifications Machine Learning & AI: Supervised and unsupervised learning, risk prediction models, forecasting algorithms. Programming & Data Processing: Python, SQL, Pandas, Scikit-learn, TensorFlow/PyTorch. Cloud & Infrastructure: AWS (RDS, Lambda, SageMaker), Google Cloud, or Azure AI services. ETL & Data Engineering: Experience with building scalable data pipelines for ML models. APIs & Integration: REST APIs, MS Dynamics API, healthcare data interoperability. Visualization: Jupyter, Power BI, or similar platforms. Experience 3+ years of experience in Data Science, AI/ML, or predictive analytics in healthcare, logistics, or enterprise AI applications. Microsoft Data Analyst Associate certification or BSc in Computer Science, AI, or a related f ield. Knowledge Strong communication skills for engaging clinical teams, engineers, and business stakeholders. Ability to translate complex AI insights into actionable business strategies. Experience in healthcare analytics, supply chain optimization, or chatbot development is a plus.

Full job record

Job ID248c8ac3f26f3d3bef108d29d1509e83742c2638
Org ID11c0fe45-bc98-4781-8533-805e44a0c444
Source IDfa721935-11da-4d74-8113-00a4ef9d7873
Board IDfa721935-11da-4d74-8113-00a4ef9d7873
Providerbamboohr
Provider Job Key101
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentEngineering
Team
Employment TypeEmployee _Permanent_Probation
Workplace Type
Remote Policy
CountryEgypt
RegionNairobi
CityCairo
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://kashainc.bamboohr.com/careers/101
Apply URLhttps://kashainc.bamboohr.com/careers/101
First Seen At2026-05-30 06:10:49Z
Last Seen At2026-06-06 09:57:16Z
Last Checked At2026-06-06 09:57:16Z
Last Changed At2026-05-30 06:10:49Z
Inactive At
Source Posted At2025-04-16 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=kashainc/date=2026-06-06/2026-06-06T09-57-14-538Z-cf70100e81001ad5c135fef289ed8367911985a6e691342e1adf0f54d8531c1a.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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}
Extensions
{}
Native Structured
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    "description": "<p><span style=\"font-family: georgia, palatino; font-size: 10pt; font-weight: bold;\"><span style=\"color: red;\">About Kasha</span></span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 10pt;\"><span style=\"color: #222222;\">Kasha will disrupt the way that people in emerging markets get the health products they need by turning global health supply chains upside down. We are on our way to becoming Africa’s leading platform for last-mile access to health products and services used by enterprises, consumers, resellers, and health facilities. Kasha focuses on the lower-income mass market population, selling health and household goods and delivering those products to the last mile through our Kasha Agents and logistics networks. Customers can order using an omnichannel mobile platform that is built to be highly accessible around the country, reaching even typically offline customers via our digital channels. Kasha also works with manufacturers and global health organizations, operating as a service channel for visibility on distribution, performance data, consumer insights, and last-mile access. Kasha was founded in July 2016 in Rwanda, and operates in East, South, Central, and West Africa. You can learn more about us at </span><a rel=\"noopener noreferrer\" href=\"https://www.kasha.co/\">Kasha Global Inc.</a></span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 10pt;\"><span style=\"color: rgb(0, 0, 0); text-decoration: none;\"><br><span style=\"font-weight: bold;\"><span style=\"color: red;\">About the Role</span></span><br></span><span style=\"color: rgb(0, 0, 0); text-decoration: none;\"></span></span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 10pt;\">The Data Scientist will leverage AI/ML-driven predictive analytics to support the development and deployment of Proof-of-Concept (PoC) and Minimum Viable Products (MVPs) focused on NCD (Non-Communicable Diseases) patient retention, delivery forecasting, behavioral adherence, and AI-powered virtual assistants. The role involves building machine learning models for risk scoring, adherence prediction, and supply chain optimization while integrating insights into existing healthcare and logistics dashboards to improve patient outcomes and operational efficiency. Role can be based in <span style=\"color: rgb(34, 34, 34);\">Egypt, Rwanda, Kenya and/or South Africa.</span></span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 10pt;\"><span style=\"color: rgb(0, 0, 0); text-decoration: none;\"><span style=\"color: rgb(224, 62, 45); font-weight: bold;\"></span></span></span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 10pt;\"><span style=\"color: rgb(0, 0, 0); text-decoration: none;\"><span style=\"color: rgb(224, 62, 45); font-weight: bold;\">Responsibilities</span><br></span></span></p>\n<ul>\n<li>\n\n\n\n\n<p><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Predictive Analytics &amp; AI Models</span></p>\n\n\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Design and develop AI-driven risk scoring models to identify NCD patients at risk of disengagement.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Build predictive models to forecast eligibility transitions for improved patient care pathways.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Implement a Machine Learning-based adherence segmentation model to analyze patient behavior patterns.</span></li>\n</ul>\n\n\n\n\n<p><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Delivery Forecasting &amp; Supply Chain Optimization</span></p>\n\n\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Develop an AI-powered delivery forecasting model to predict medication delivery accuracy and potential delays.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Integrate predictive insights into logistics and warehouse management systems to improve proactive planning.</span></li>\n</ul>\n\n\n\n\n<p><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">AI-Powered Virtual Assistants</span></p>\n\n\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Develop and deploy AI-powered chatbots and virtual assistants for medication reminders, real-time patient engagement, and adherence support.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Enable self-service patient platforms for medication-related queries and preference management.</span></li>\n</ul>\n\n\n\n\n<p><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Data Engineering &amp; Infrastructure</span></p>\n\n\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Design and optimize Python-based ETL pipelines for data flow between AI models and healthcare dashboards.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Work with MS Dynamics integrations to enhance AI-driven decision-making in clinical and operational processes.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Ensure seamless API integrations for real-time data exchange between predictive models and user-facing applications.</span></li>\n</ul>\n\n\n\n\n<p><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Monitoring, Validation &amp; Deployment</span></p>\n\n\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Develop real-time monitoring mechanisms for risk stratification insights and adherence dashboards.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Optimize CI/CD pipelines for AI/ML model deployment and automate API-based data updates.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Conduct model validation, A/B testing, and performance tuning to refine PoC models before MVP scaling.</span></li>\n</ul>\n\n\n\n\n<p><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Collaboration &amp; Knowledge Sharing</span></p>\n\n\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Work closely with healthcare professionals, supply chain teams, and DevOps engineers to align AI models with operational needs.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Provide executive-level data insights through Jupyter notebooks and visualization dashboards.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Contribute to AI/ML best practices through code reviews, documentation, and team knowledge sharing.</span></li>\n</ul>\n\n\n\n\n</li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\"><span style=\"color: rgb(224, 62, 45); font-weight: bold;\">Qualifications</span><br></span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Machine Learning &amp; AI: Supervised and unsupervised learning, risk prediction models, forecasting algorithms.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Programming &amp; Data Processing: Python, SQL, Pandas, Scikit-learn, TensorFlow/PyTorch.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Cloud &amp; Infrastructure: AWS (RDS, Lambda, SageMaker), Google Cloud, or Azure AI services.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">ETL &amp; Data Engineering: Experience with building scalable data pipelines for ML models.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">APIs &amp; Integration: REST APIs, MS Dynamics API, healthcare data interoperability.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Visualization: Jupyter, Power BI, or similar platforms.</span></li>\n</ul>\n<p><span style=\"font-family: georgia, palatino; font-size: 10pt;\"><br><span style=\"color: rgb(224, 62, 45); font-weight: bold;\">Experience</span><br></span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">3+ years of experience in Data Science, AI/ML, or predictive analytics in healthcare, logistics, or enterprise AI applications.</span></li>\n<li><span style=\"color: #000000; font-family: Arial,sans-serif; font-size: 10pt; text-decoration: none;\"><span style=\"font-family: georgia, palatino;\">Microsoft Data Analyst Associate certification or BSc in Computer Science, AI, or a related f</span>ield.</span></li>\n</ul>\n<p><span style=\"font-family: georgia, palatino; font-size: 10pt;\"><span style=\"color: rgb(224, 62, 45); font-weight: bold;\">Knowledge</span><br></span></p>\n<ul>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Strong communication skills for engaging clinical teams, engineers, and business stakeholders.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Ability to translate complex AI insights into actionable business strategies.</span></li>\n<li><span style=\"color: rgb(0, 0, 0); font-family: georgia, palatino; font-size: 10pt; text-decoration: none;\">Experience in healthcare analytics, supply chain optimization, or chatbot development is a plus.</span></li>\n</ul>\n<p><span style=\"font-family: georgia, palatino; font-size: 10pt;\"><br></span></p>",
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