Вакансия № 22581575 добавлена в базу данных сайта Работа в Москве и Московской области (МО, Подмосковье): Воскресенье, 28 июля 2024 года.
Дата обновления вакансии № 22581575 на сайте Работа в Москве и Московской области (МО, Подмосковье): Понедельник, 23 сентября 2024 года.
Обращаем Ваше внимание, что на момент обращения к работодателю вакансия № 22581575 может быть уже занята. Администрация сайта Работа в Москве и Московской области (МО, Подмосковье) приносит извинения за доставленные неудобства.
-
Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools
-
Effectively communicate the analytics approach and how it will meet and address objectives to business partners
-
Develop efficient and accurate analytical models and incorporate them into analytical data products in cross-functional team
-
Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems
-
Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
-
Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
-
Engineer features by using their business acumen to find new ways to combine disparate internal and external data sources
-
Share passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards
-
Collaborate, coach, and learn with a growing team of experienced Data Scientists
-
Stay connected with external sources of ideas through conferences and community engagements
-
Bachelor’s in Data Science, Computer Science, Engineering, Statistics
-
Minimum 3 years experience and demonstrated Data Science skill set
-
Must have Python or R proficiency working with DataFrames
-
Must have proficiency writing complex SQL queries
-
Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
-
Must have proven ability to merge and transform disparate internal & external data sets together to create new features
-
Advanced time series forecasting understanding – from classical linear approaches to ML ones is a plus
-
Understanding the key business metrics and its application to ML models
-
Experience with sophisticated data cleansing approaches & robust models
-
Proficiency validating the current approaches and understanding the improvement area
-
Experience with Big Data technologies desired, but not necessary — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
-
Experience with supporting deployment, monitoring, maintenance and enhancement of models desired
-
Experience with data visualization tools preferred — Power BI, Tableau, R Shiny, Plotly, etc.
-
Experience with AB testing preferred