Lead Data Scientist
- Integrant
- Cairo, Cairo Governorate, Egypt
- Full-time
وصف الوظيفة
Join Us!
Integrant is seeking innovative thinkers to elevate our team as a "Lead Data Scientist." Below are the key responsibilities associated with this position:
- Leverage your expertise in mathematics, statistics, and computer science to derive insights from structured, semi-structured, and unstructured data, enabling our clients to make informed, data-driven decisions.
- Engage in independent research to craft new algorithms and methodologies that cater to unique client requirements that existing solutions cannot address.
- Collaborate with clients to gather requirements related to prospective data science projects.
- Guide and mentor junior team members in data science practices.
- Implement machine learning models for clients and facilitate effective knowledge transfer.
إمتيازات الوظيفة
- 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!
متطلبات الوظيفة
- 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
