Director, Advance Analytics, Middle East and North Africa (Mena), Global Data Science Center of Excellence, Bangalore, Visa

Visa

Company Description

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.

Job Description

Position Summary

The Director of Data Science is a lead Data Scientist role in the Middle East and North Africa team based in Bangalore, India. We are seeking an innovative and analytical thinker to champion our data-driven strategies for the region. As a senior Data Scientist, you are expected to participate in business development, develop predictive and prescriptive models, develop context-based proto-types and high impact storyboards to promote a data-driven strategy and solutioning approach for the company.

Principal Responsibilities

  • Provide leadership to identify strategic and tactical innovation opportunities around data and data-related processes that will promote fact-based decisioning processes
  • Help set strategic direction and roadmap for the Data Science group in Sub-Saharan Africa
  • Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote growth and business development for the region
  • Keep us at the forefront of technical advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights
  • Develop next-generation analytic methods where existing techniques are not adequate to address business challenges
  • Review, direct, guide, and inspire the analytical work of junior members in the team
  • Collaborate with technology partners to build an Analytics Technology Ecosystem that supports advanced decisioning
  • Managing team workload, providing prioritization guidance for project flow to improve process efficiency
  • Manage and grow talent within the team
  • Develop, share, and build global best practices and knowledge management within the team
  • Socialise innovative ideas and approaches that are scalable and have market demand

Professional Experience

  • Minimum of 10+ years of analytics expertise in applying statistical solutions to business problems
  • Experience working in one or more of the Card Payments markets around the globe
  • Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
  • Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant
  • Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies
  • Experience building and cultivating teams
  • Experience planning, organising, and managing multiple large projects with diverse cross-functional teams
  • Demonstrated ability to incorporate new techniques to solve business problems
  • Demonstrated resource planning and delivery skills

Qualifications

Technical Expertise

  • Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
  • Ability to write scratch MapReduce jobs and fluency with Spark frameworks
  • Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks); proficiency in SAS technologies and techniques
  • Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
  • Experience in drafting solution architecture frameworks that rely on API’s and microservices
  • Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
  • Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio; familiarity with data lineage processes and schema management tools such as Avro
  • Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
  • Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)
  • Deliver results within committed scope, timeline and budget
  • Very strong people/project management skills and experience
  • Ability to travel within CEMEA region on short notice

Business Experience

  • Results-oriented with strong problem solving skills and demonstrated intellectual and analytical rigor
  • Good business acumen with a track record in solving business problems through data-driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
  • Team oriented, collaborative, diplomatic, and flexible style
  • Very detailed oriented, is expected to ensure highest level of quality/rigor in reports and data analysis
  • Proven skills in translating analytics output to actionable recommendations and delivery 
  • Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels
  • Exhibits intellectual curiosity and a desire for continuous learning

Leadership Competencies

  • Demonstrates integrity, maturity and a constructive approach to business challenges
  • Role model for the organization and implementing core Visa Values
  • Respect for the Individuals at all levels in the workplace
  • Strive for Excellence and extraordinary results
  • Use sound insights and judgments to make informed decisions in line with business strategy and needs
  • Leadership skills include an ability to allocate tasks and resources across multiple lines of businesses and geographies. Leadership extends to ability to influence senior management within and outside Analytics groups
  • Ability to successfully persuade/influence internal stakeholders for building best-in-class solutions
  • Change management leadership

I'm interested

Privacy Policy

Read Full Description
Confirmed an hour ago. Posted 30+ days ago.

Discover Similar Jobs

Suggested Articles