Data Scientist

**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** What a Data Scientist (Analyst) does at Visa**:
Join us as Data Scientist and play an instrumental role in steering the implementation and development of data driven solutions within the Global Data Solutions team.
- Collaborate with merchant data teams (across different locations) to gain deep understanding of Visa’s existing merchant data sets, and utilize them to build/enhance key reports and dashboards
- Lead ETL and data analysis of large transactional data sets: using standard tools such as Hadoop Ecosystem, Python/Pyspark, SQL, Java etc.
- Create impactful and dynamic visual interfaces/ dashboards for the next generation of our data driven solutions
- Contribute to new data and analytic capabilities, bring in new techniques, and/or innovation ideas
- Work closely with the internal stakeholders to understand their challenges and craft solutions that help them to solve their problems

**Projects you will be a part of**:
The nature of projects in this role will focus on driving value from Visa’ unique data assets and collaborating with **Visa Merchant & Sales Solution team **to solve their most strategic business problems related to contactless, wallet, cobrand portfolios.

**Qualifications**
- Post Graduate (masters or Ph.D) in STEM field with at least 1-3 years being a data scientist or analytics consultant
- Hands-on experience in developing machine learning models, scaling data solutions and delivering end-to-end data science projects
- Familiar with typical machine learning models such as Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, etc
- Proficient in big data aggregation using Hive, Spark, SQL, R/Python, and familiar with typical deep learning toolkits and packages
- Experience with visualization and reporting tools, such as advanced user of Power BI, Tableau, MicroStrategy, open-source tool, or similar
- Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
- Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization
- Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the ability to handle numerous projects
- Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis

**What will also help**:

- Banking / consulting/payment industry or broader merchant experiences are not desired but preferred
- Knowledge of tokens, tokenization technology, contactless, xPays or having worked with similarly complex payment technology.

**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.