JOB OPPORTUNITY
Data Scientist
Advansys Intelligent Solutions
JOBPLATFORM SUMMARY
Job Overview
This position is offered by Advansys Intelligent Solutions, in Cairo, Cairo, Egypt, as a Full-time role. The job details and listed requirements below are based on the original job posting.
ORIGINAL JOB DESCRIPTION
About the Job
Job Requirements: Collect, clean, and preprocess structured and unstructured data from multiple sources Perform exploratory data analysis (EDA) to identify trends and patterns Develop, validate, and deploy machine learning and predictive models Design and implement data pipelines and automation workflows Translate business problems into analytical solutions Collaborate with cross-functional teams including engineering, product, operations, and leadership Communicate findings through reports, dashboards, and data visualizations Monitor model performance and continuously improve algorithms Ensure data integrity, quality, security, and governance complaince Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field 2+ years of experience in data analysis, machine learning, or related role Strong programming skills in Python or R Proficiency in SQL and working with relational databases Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) Strong understanding of statistics and probability Experience with data visualization tools (Power BI, Tableau, Matplotlib, etc.) Familiarity with cloud platforms (AWS, Azure, or GCP) Knowledge of big data tools such as Spark or Hadoop Understanding of MLOps concepts and model deployment processes Strong analytical thinking and problem-solving skills Excellent communication skills Ability to work independently and collaboratively Benefits Annual bonus Health insurance and wellness programs Professional development and training opportunities Show more
REQUIREMENTS
Required Skills
JOB SOURCE
Original Job Listing
This job was found throughLinkedIn. You can review the original listing before applying.