Data Scientist (AI Forecasting)
Amman, Jordan Data Scientist (AI Forecasting)
About the job Data Scientist (AI Forecasting)
Aumet is a leading healthcare technology company dedicated to revolutionizing the way medical supplies are sourced and distributed globally. Our platform connects healthcare providers with a vast network of suppliers, streamlining the procurement process and ensuring efficient access to essential medical products.
Job Overview:
The Data Scientist leverages AI and machine learning techniques to develop predictive models for forecasting prescription and dispensing patterns. This role analyzes large datasets, optimizes algorithms, and collaborates with other teams to integrate AI-driven insights into the platform.
Responsibilities:
Develop and optimize
AI algorithms for forecasting prescription and dispensing patterns. Collaborate with the backend and data engineering teams to integrate AI models into the platform. Perform
data analysis on large datasets to derive insights and improve model accuracy. Use
machine learning techniques to predict demand and supply patterns in healthcare and pharmaceutical fields. Continuously improve AI models based on feedback, performance metrics, and new data. Create and maintain
documentation on model processes, assumptions, and results for non-technical stakeholders. Stay up-to-date with the latest trends and advancements in AI, particularly in
forecasting and
predictive analytics.
Requirements:
A minimum of 4 years of experience
Proficient in Python, with experience in
AI/ML libraries such as
TensorFlow, PyTorch, Scikit-learn. Solid understanding of
machine learning algorithms, including
regression, classification, clustering, and
time series forecasting. Strong
data analysis skills with proficiency in
SQL and familiarity with
NoSQL databases (e.g., MongoDB). Experience in
model deployment and integration with backend systems (e.g., Flask, FastAPI). Knowledge of
data wrangling and
feature engineering. Familiarity with
real-time data analysis tools and techniques. Experience in
analyzing and processing large datasets. Strong problem-solving skills and ability to work with unstructured data.* Excellent communication skills to explain technical concepts to non-technical stakeholders.
