Sr. Data Scientist в Visa

Responsibilities

Dealing with the partner and clients to build comprehensive development roadmap Executing on the analytic plan with appropriate data mining and analytic techniques Implementing complex big data algorithms on matching transactional and 3rd party client-centric data Conducting transaction data analysis within Hadoop ecosystem Improving current matching algorithms with advanced big data technics Automating data pipeline using Apache Airflow Supporting big data production solutions Ensuring constant development and improvement of production big data solutions Performing QA on data and deliverables by analysts and own deliverables Ensuring project delivery within timelines Finding opportunities to create and automate repeatable analyses or build streamlined solutions for internal and external Visa clients Collaborating with Visa’s internal functions to fully understand business requirements and desired business outcomes Building on team’s analytical skills and business knowledge

Qualifications

Skills:

Minimum 5 years of big data analysis. That must include automated pipelines development, Hadoop, Spark, Hive, Presto or similar.
Proficiency with DS technologies; experience with Python, Scala, SQL.
End-to-end development skills from business understanding and data preparation to quality assurance of big data solution
Analytical expertise in applying statistical solutions to business problems (e.g., experience in payments, consumer banking, commercial banking, FMCG retail, consulting, heavy industry).
Strong in defining and designing analytic approaches to business problems, strong in decomposing heavy business problems into structured and time predictable analytical tasks.
Experience in scaling up ML / big data solutions.
Excellent communication skills in both spoken and written English (upper intermediate plus), Russian fluent speaker.
Nice to have practical experience in building and applying machine learning models (regression, clustering, classification: gradient boosting, random forests, linear models, deep learning etc.); understanding in how do these algorithms work.

At least 2 out of 3

Degree (masters or PhD would be an advantage) in quantitative field such as statistics, mathematics, operational research, computer science, economics, or engineering or equivalent experience;
Demonstrated resource planning and delivery skills;
Ensure the usage of the correct analytic measures and metrics to solve the business problem; statistical experiments set up and ability to calculate business impact.

Apply:

https://jobs.smartrecruiters.com/Visa/743999808514482-sr-data-scientist-data-products

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