تفاصيل الوظيفة

طبيعة الوظيفة
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
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