Sr Data Scientist (Research Focus)
External
Nielseniq · Bogota, COPrepare for this interview
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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 - 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 - 6+ 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 - Good communication and presentation skills, expressing and defending the delivered work ● E - Experience in designing experiments, prototyping as well as supporting pilot programs for R&D purposes. ● P - Experience with cloud computing and storage software, ETL ● P - Experience with Github or similar version control platforms ● P - Domain in managing clients and proven experience of solving complex client requirements.
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