Sr. Data Scientist, Data Products
- Full-time
- Job Family Group: Product Development
Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
Job Description
Company Description
Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind
– making sure that Visa is the best way to pay and be paid, for everyone
everywhere. This is our global vision and the common purpose that
unites the entire Visa team. As a global payments technology company, tech is
at the heart of what we do: Our VisaNet network processes over 65,000
transactions per second for people and businesses around the world, enabling
them to use digital currency instead of cash and checks. We are also global
advocates for financial inclusion, working with partners around the world to
help those who lack access to financial services join the global economy.
Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate
teamwork, diversity, and excellence throughout the world. If you have a passion
to make a difference in the lives of people around the world, Visa offers an uncommon
opportunity to build a strong, thriving career. Visa is fueled by our team
of talented employees who continuously raise the bar on delivering the
convenience and security of digital currency to people all over the world. Join
our team and find out how Visa is everywhere you want to be.
Job Description
We are currently seeking for an individual contributor to Russia Data Science team to support our local data products initiative. The key responsibilities of the role will include creating new highly demanding analytical solutions for broad set of consumers (B2B). This role assumes support of existing local data products as second priority.
As a leader of the project you will be accountable for architecturing the design, as well as development and implementation of final product. In this role you will partner with Visa Consulting & Analytics, Business, Finance and Technology teams across the organization to implement solutions to drive business performance.
Data Science team within Visa
Data Science is responsible for blueprinting and delivering projects with the appropriate analytic methodologies and techniques to solve client’s business objectives. The team closely collaborates with other analytic stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to clients. Responsibilities include delivering projects on time and within scope with an in-depth knowledge of big data and cutting edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modeling and segmentation. These analyses are foundational to corroborate or refute stated hypotheses and are incorporated in the final client-facing solutions. The team is responsible for continuously creating and protecting analytic IP resulting
from project learning.
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 manager, a person that earns trust and respect of the team. The Manager must be results oriented, highly organized, and must, must be focused on delivering innovative analytics work.
This role doesn't involve team management
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
• 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.