Job description
We Are Hiring!
Integrant is looking for game changers to join our team as "Lead Data Scientist" with below roles and responsibilities: Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.
Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.
Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.
Mentor junior members on the team in data science.
Deliver machine learning models to clients and contribute in knowledge transfer.
Salary paid in USD Six-month career advancing opportunities Employee parking space Supportive and friendly work environment Premium medical insurance [employee +family] English language development courses Interest-free loans paid over 2.
5 years Technical development courses Planned overtime program (POP) Employment referral program Premium location in Maadi & Nasr City Social insurance Opportunity to travel and work onsite with U.
S. customers In-house Technical and English training programs Dedicated learning time (check out our 4Plus1 Program) Flexible work schedules Perks: events, sponsored lunch, game area, rooftop hangout + more!
7+ years of experience with Data Science workloads.
MSc in Computer Science or other equivalent quantitative field.
Familiarity with classification, clustering, regression and association rule mining.
Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.
). Familiarity with Azure Cognitive Services and Azure ML.
Familiarity with AWS SageMaker.
Experience with deploying models to production.
Experience with monitoring models post production and detecting concept drift.
Familiarity with Deep Learning.
Extensive experience with Python.
Familiarity with conducting open scientific research.
Nice to Have Familiarity with Re-enforcement Learning.
Familiarity with Stochastic Local Search Methods.
Familiarity with MLOps on Azure.
Familiarity with MLOps on AWS.
Familiarity with building data pipelines on Azure.
Familiarity with building data pipelines on AWS.
Familiarity with single and multi-objective optimization techniques
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