Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Position Summary

We are seeking an innovative and analytical thinker to support our Data Science team in the GCC region based in Riyadh, KSA. As a Data Scientist, you are expected to generate data and business insights, 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 solutionsCreate and deliver powerful insights from data through better visualization and storyboardingCollaborate with internal and external partners to fully understand business requirements and desired business outcomesDemonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science teamDraft detailed scope for assigned projects, addressing suggested methodology and analytics planExecute on the analytics plan with appropriate data mining and analytical techniquesPerform quality assurance of data and deliverables for work performed by other Data Scientists and selfEnsure all project documentation is up to date and all projects are reviewed per analytics planEnsure project delivery within timelines and budget requirementsBuild on team’s analytical skills and business knowledgeEnhance existing analytics techniques by promoting new methodologies and best practices in the Data Science fieldProvide subject matter expertise and quality assurance of complex data-driven analytic projects

 

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 frameworksFamiliarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks), proficiency in SAS technologies and techniquesStrong 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-servicesFamiliarity 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 budgetVery strong people/project management skills and experienceAbility to travel within GCC on short notice

Qualifications

Basic Qualifications
•2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications
•3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•Minimum of 3-4 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

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.