Senior Data Scientist Job Vacancy in Visa Bengaluru, Karnataka – Updated today

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Full Details :
Company Name : Visa
Location : Bengaluru, Karnataka
Position :

Job Description : 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
We are seeking an innovative and analytical thinker to support our Data Science team in the Middle East and North Africa (MENA) region based in Bangalore, India. As a Data Scientist, you are expected to participate in business development, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.
Principal Responsibilities
Serve as an analytics expert in designing, developing and implementing best in analytic solutions
Create and deliver powerful insights from data through better visualization and storyboarding
Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a teaming environment that includes the rest of the Data Science team
Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
Execute on the analytics plan with appropriate data mining and analytical techniques
Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
Ensure all project documentation is up to date and all projects are reviewed per analytics plan
Ensure project delivery within timelines and budget requirements
Build on team’s analytical skills and business knowledge
Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
Provide subject matter expertise and quality assurance of complex data-driven analytic projects

Qualifications

Professional Experience

Minimum of 6+ years of analytics expertise in applying statistical solutions to business problems
Experience working in one or more of the Card Payments markets around the globePost-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 merchantGood knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologiesExperience planning, organizing, 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
Technical Expertise
Experience 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 SQLExperience 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 AvroProficient 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 MENA 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
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

Leadership Competencies
Demonstrates integrity, maturity and a constructive approach to business challengesServes as a role model for the organization and implementing core Visa Values
Maintains respect for individuals at all levels in the workplaceStrives for excellence and extraordinary resultsUses sound insights and judgments to make informed decisions in line with business strategy and needsAble to allocate tasks and resources across multiple lines of business and geographiesDemonstrates ability to influence senior management within and outside Data Science groupsCan successfully persuade/influence internal stakeholders towards building best-in-class solutionsTeam oriented, collaborative, diplomatic, and flexible styleExhibits intellectual curiosity and a desire for continuous learning
Additional Information

Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

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