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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