Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. Responsibilities: 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 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 their 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 Domain Expertise: Bachelor’s degree required Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 3+ years work experience 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 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 preferred — 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 We offer: Competitive salary Advanced benefits package (annual bonus, health insurance, mobile compensation, partial fitness compensation, 3-year saving plan) Professional development and career growth Ability to take part in digital transformation in a large company
Адрес
Москва