Data Science Analyst GCC

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

Qualifications :

Minimum of 4 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 APIs 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)

Additional Information :

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.

Remote Work : No

Employment Type : Full-time

Key Skills

Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Experience : years

Vacancy : 1