Data Science Director
- Москва, Россия
- Полная занятость
As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
You're an Individual. We're the team for you. Together, let's transform the way the world pays.
VCA is looking for an individual to join our data science team and play a role developing high impact projects for Visa. The ideal candidate is adept at using large data sets to address key strategic needs for Visa’s clients including issuers, acquirers and merchants. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data based insights. Adept at creative and critical thinking, they are able to deconstruct problems and transform insights into large scale, state-of-the-art solutions.
Lead strategic work-stream, aimed at enriching and monetizing our VisaNet and partner data by developing edge-cutting innovative solutions and testing multiple hypothesis
Manage projects from conception to completion with the help of junior team members
Lead tasks on R&D, data governance, system infrastructure, analytics tool evaluation
Help us staying at the forefront of technical advancement in data science and introducing cutting edge tools and techniques for generating business insights
Provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s and client’s unique datasets
Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa
Coach and educate other team members on data analysis techniques and Visa processes
Constantly improve Visa external image as data driven innovative by participation in and organization of external workshops and meet-ups
Vendor onboarding and resource management
Drive and lead function development strategy together with Data Science Function Head
Back-up for Data Science Head in Russia
Требования к квалификации
MS in engineering, computer science, statistics, applied mathematics or other related fields
At least 5 years of experience in Banking, Tech companies or payment system.
Minimum of 7 years of experience of relevant experience in data, analytics, and statistics
Extensive experience applying analytics and creating innovative solutions to solve business problems
Extensive experience in presenting ideas and analysis to various audience levels
Good business acumen to orient data analysis to business needs of clients
Strong written, verbal, and graphical communication skills
Ability to clearly communicate the meaning of analytical concepts, analyses and results
Ability to execute multiple projects and tasks with competing priorities while meeting required deadlines
Quick-thinker, fast learner, wide general knowledge, problem solver
Team worker, responsible, delivery-oriented
Excellent spoken and written English, fluent Russian
Hands on experience with - SAS, Hive, R, SQL, Python, Hadoop, Spark
Working knowledge of Hadoop ecosystem and associated technologies, e.g. Apache Spark, Mllib, GraphX, iPython, sci-kit and Pandas.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, clustering, decision tree, Gradient Boosting, Random forests, Support Vector Machine, Deep learning, etc.) and experience with applications.
Understanding of algorithms and ability to optimize various program complexities using suitable data structures
Ability to define and support the quality assurance cycle
Experience in conducting sensitivity analysis
Experience in model management, automation of the processes of publication and monitoring
Ability to manage multiple projects and tasks efficiently and able to meet deadlines.
Experience designing and building new data products is an advantage
Advanced PowerPoint presentation skills
This job doesn't imply people management