Lead Data Scientist

Benefits

Additional Information

On a daily basis you'll be expected to: - Work across functions, including with other data scientists specializing it different areas, on various projects, including R&D and automation to solve the business needs of the day - Translate Clients' and Product Team's requirements to actionable solutions or products - Ideate and develop solutions for the product innovation pipeline - Define the given business problem as a scientific research problem - Define and own the roadmap of R&D and prototyping solutions - Research solutions, identify and understand the relevant internal data, set and execute experiments, prototype the solution and support Technology team on productionalizing them - Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs - Test and optimize those models using big data. Fine tune parameters and iterate. - Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it - Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning. Role requirements: (E=essential, P=preferred) ● E - Bachelors or Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field, with outstanding analytical expertise and strong technical background. PhD level in the area is a plus. ● E - 10+ years of experience in data science/research ● E - experience in independently leading and owning end-to-end research related projects ● E - Vast knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Monte Carlo simulations, Neural Networks, etc. ● E - Proficient in Python and its most common data science libraries. ● E - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec. ● E - Strong communication and presentation skills and ability to express, explain and defending the delivered work to stakeholders from different background, adapting the message accordingly: fellow Data Scientists, Commercial people, Data Engineers and Operations experts ● E - Experience in designing experiments, prototyping as well as supporting pilot programs for R&D purposes. ● E - Experience with Github or similar version control platforms ● P - Experience with cloud computing and storage software, ETL ● P - Domain in managing clients and proven experience of solving complex client requirements. Please share your CV in English

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Company Intel

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