В сеть фастфуда Вкусно - и точка требуется Chief Data Scientist.
Chief 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:
- 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 and Data Trainees
- 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
Domain Expertise:
- Bachelor’s degree required, in quantitative discipline and demonstrated Data Science skill set
- 4+ years work experience, 1+ year work experience as a team lead
- Python or R proficiency working with DataFrames and proficiency writing complex SQL queries
- Proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
- Proven ability to merge and transform disparate internal & external data sets together to create new features
- Experience with Big Data technologies preferred - Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
- Experience with supporting deployment, monitoring, maintenance and enhancement of models preferred
- Experience with data visualization tools preferred - Tableau, R Shiny, Plotly, etc.
Company Offers:
- 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