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Visa

Sr. Data Scientist

В архиве c 5 апреля 2021
Москва
174 000 - 261 000 ₽

Typical responsibilities of Sr. Data Scientist in Visa

  • Global Data Science team is the engine of analytics at Visa; this is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving the Asia Pacific, Central Europe, Middle East and Africa geographies.
  • Visa DS is looking for a hands-on Sr. Data Scientist, a person that earns trust and respect of the team. Sr. Data Scientist must be results oriented, highly organized, and must, must be focused on delivering innovative analytics work. 

Responsibilities

  • Conducting transaction data analysis with Hadoop/Cloud and big data technologies for internal and external clients and stakeholders, and develop deeper insights into the products using advanced statistical methods
  • Finding opportunities to create and automate repeatable analyses or build streamlined solutions for internal and external Visa clients
  • Performing impact estimation of key strategic and marketing Visa activities using analytics techniques
  • Promoting usage of BI self-service tools in Moscow office
  • Creating user-friendly dashboards and presentations
  • Building predictive models using advanced machine learning techniques; interpret and present modeling and analytical results to non-technical audience
  • Collaborating with the Visa Consulting team and other requestors to fully understand business requirements and desired business outcomes
  • Defining detailed analytic scope and methodology, and creating analytic plan
  • Executing on the analytic plan with appropriate data mining and analytic techniques
  • Performing QA on data and deliverables by analysts and own deliverables
  • Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
  • Ensuring project delivery within timelines
  • Building on team’s analytical skills and business knowledge
  • Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
  • Providing subject matter expertise and quality assurance of complex data driven analytic projects

Qualifications

  • Obligatory skills:
  • Proficiency with modeling software; experience with Python, Hadoop, Hive, Impala or similar instruments; 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 and end-to-end development skills from business understanding and data preparation to quality assurance of ML models
  • Minimum of 5 years of analytical expertise in applying statistical solutions to business problems (experience in payments and/or consumer banking and/or commercial banking and/or FMCG retail and/or consulting and/or 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;
  • Excellent communication skills in both spoken and written English (upper intermediate plus), Russian fluent speaker.
  • 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.
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