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Manager Data Scientist

Visa Consolidated Support Services (India) Private Limited - Tech Unit -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
3 hours ago

Qualifications

MATLAB
Elasticsearch
Data modeling
Data mining
Doctoral degree
XML
Big data
Spark
R
Apache Hive
Ab Initio
Java
Master's degree
SQL
C++
Project management
Presentation skills
C
Bachelor's degree
HBase
Machine learning
Distributed systems
Scala
APIs
Regression analysis
JSON
Data science
Solution architecture
AI
Banking
Python
Hadoop

Full job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Principal Responsibilities:

Build long term relationship with large GCC clients, including client business and Data Science teams
Manage full spectrum of VCA project journey, starting from sales, proposal building, pricing, project kickoff, execution, story building to post project implementation support
Liaise with VCA leadership and participate in proposal approval meetings to get internal project approvals
Develop and strengthen GCC Data Science risk capabilities and develop new risk solutions for the clients
Responsible for developing analytics and model-based solutions for Visa’s issuer, acquirer, merchant, fintech clients addressing challenges such as market opportunity sizing, prospect targeting, cross sell/upsell, cross-channel marketing implementation, risk, fraud, and more general portfolio optimization programs
With focus on building efficiency, find opportunities to automate the project pipeline of recurring projects using latest Data Science techniques
Review, direct, guide, and inspire
the analytical work of junior members in the team
Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa’s growth in the region
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa’s internal technology platforms, data, and the broader Visa ecosystem to support our clients’ technical data needs
Manage workload for self and any direct reports, 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
Socialize innovative ideas and approaches that are scalable and have market demand
Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa’s highly regarded market standing is maintained

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Minimum of 8+ years of expertise in applying Machine Learning solutions to business problems – model development and production experience required
Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering
Experience working in one or more of the Card & Payments markets around the globe, with specific responsibilities in payments, retail banking, or retail merchant industries
Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product
Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems
Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation
Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels
Proven ability to deliver results within committed scope, timeline and budget
Very strong people/project management skills and experience
Ability to travel within GCC on short notice

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.)
Familiarity with workings of Large Language models and ability to develop agents
Capability to develop front end UI/UX would be plus
Strong programming ability in different programming languages such as Python, Spark, R, Scala, Java, Matlab, C++, and SQL
Experience in drafting solution architecture frameworks that rely on API’s and micro-services
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)

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Apply Now

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