Senior Data Scientist
Hybrid · Giza, Giza, Egypt
Job Summary
Senior Data Scientist to guide delivery of Analytic Solutions to internal customers. Design and execute processes related to AI, ML, predictive/analytical modeling, data mining, and research on large-scale data sets using statistical, machine learning, graph modeling, text mining and other modern techniques. Collaborate with multiple teams, provide periodic updates via presentations and prototype demonstrations, and manage multiple projects simultaneously. Formulate key business requirements, rationalize analytical approaches, develop, analyze, and present results to business users. Must deeply understand AI/ML algorithms (not just libraries), and have experience delivering end-to-end projects beyond PoCs. Responsibilities include designing state-of-the-art descriptive, diagnostic and predictive algorithms, engaging with business segments and stakeholders, and communicating solution designs to both technical and IT audiences. Will participate in external technical forums and events to brand analytics best practices.
Required Qualifications
- PhD or master’s degree in computer science, Electrical Engineering, Mathematics and Computing, Operations Research from top tier institutes
- Devops driven 4-6 years of Industrial experience in developing core machine learning algorithms
- Academically trained in the field of machine learning/AI/Data Science/Computer Vision etc
- Excellent communication, verbal and written skills
- Key competencies in data science technologies
- Strong background in machine learning, time series analysis / sensor processing, AI/Deep Learning, optimization/operations research, text analytics/NLP, Applied Mathematics, Decision Sciences, Computer Vision
- Building and applying machine learning / predictive modelling in real-world use cases
- Strong understanding and implementation and solution architecting of predictive / analytical modeling techniques, theories, principles, and practices
- Strong theoretical foundations in machine learning, optimization, stochastic process, linear algebra etc.
- Excellent knowledge of data mining / predictive modeling tools such as Python, Spark, Tensorflow, Keras, MLlib etc.
- Ability in designing distributed and parallelized algorithms
- Ability in deploying real world solutions in Hive, Spark and other Hadoop Technologies in Cloud and In-premise
- Capable of delivering on multiple competing priorities with little supervision
- Deep understanding of big data platforms such as Azure, Google cloud etc.
- Ability to abstract model representations and formulate repeatable models
- Strong ability to work in a fast-paced environment
- Strong ability to work both autonomously and in a team
- Strong ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
- Understanding of Oil and Gas domain is a plus
- Experience working with, processing and managing large data sets (multi TB scale) is preferred
- Experience in real-time stream processing is a plus
- Keep continuously up to date on all assigned technologies
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