Job Details
Skills And Tools:
Job Description
Dell provides the technology that transforms the way we all work and live. But we are more than a technology company — we are a people company. We inspire, challenge and respect every one of our over 100,000 employees. We also provide them with unparalleled growth and development opportunities. We can’t wait for you to discover this for yourself as a Lead Data Scientist on our Live Optics team in Cairo.
Dell EMC Live Optics™ is the next generation of IT workload profiling created to allow a modern method of collecting, visualizing, and sharing performance and design characteristics for IT environments. Currently Live Optics is utilized in 170 countries by IT Professionals as well as employees and partners of the entire Dell Technologies family of companies. Our software is ground zero for creating a digital experience between vendors and their customers in the marketplace. Live Optics is a blend of big data, social media, and hard core analytics. Live Optics is also one of the world’s largest databases of datacenter workload performance needs.
The Dell EMC Live Optics team is experiencing growth and is rapidly expanding in Cairo. Each member of Live Optics is encouraged to express their creativity for problem solving and contribute to both technique and features of the product. A true opportunity for your ideas to come alive and be globally utilized is at your fingertips. Do you have a passion to work with cutting edge cloud technologies? Do you have a desire to influence evolving cloud initiatives? The Live Optics team is looking for an exceptional, highly motivated and ambitious team player to build and deliver a best of breed software stack to our customers.
Key Responsibilities:
- Perform all the phases of a data science project: business understanding, data understanding and preparation, exploratory analysis, modeling, model evaluation, communicating results and business value of a model to the product leadership and finally deploying your data product.
- Manage your activities, scope and timelines on the projects with minimum supervision.
Job Requirements
Essential requirements:
- 7+ years of relevant experience in the data field.
- Fluency with at least one scripting language such as Python.
- Strong applied mathematical and statistical skills regardless of the tools.
- Demonstrated experience in implementing ML algorithms from scratch and developing an algorithm documentation to be communicated with the other data scientists.
- Basic knowledge of visualization tools (Tableau, Qlikview, etc.)
- Proficiency in using query languages such as SQL.
Desirable requirements:
- Experience with Python libraries such as numpy, pandas, etc...
- Experience with ML libraries such as SKLearn, MADlib, etc...
- Experience with ML frameworks such as TensorFlow, Keras, etc...
- Solid understanding of deep learning techniques.
- Experience with Big data tools is very much preferred (Hadoop, Spark, etc.).
Benefits
We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities — all to create a compelling and rewarding work environment.
If you’re ready to play an instrumental role in our strategic development, this is your opportunity to develop with Dell.
Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Learn more about Diversity and Inclusion at Dell here.
