Data Scientist

6 months ago

Bengaluru, India Visa Full time

Company 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 looking for a talented, technical, proactive, energetic, and passionate person who embraces challenges and is a proven problem solver.

**Principal Responsibilities**
- Partner with teams across the organization including consultants, engineering, and data scientists to address prioritized business problems
- Work as part of the project team to understand business requirements, support data collection, cleansing, preparation, feature engineering, model build, evaluation, training, and deployment adhering to project scope and timelines.
- Define detailed scope and methodology, design and create solutions, and execute leveraging appropriate tools and techniques
- Support development of a robust system for measuring and optimizing the quality of deployed algorithms and models.
- Monitor AI models in production to evaluate performance, model drift, and decay.
- Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients
- Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
- Identify, design, and implement internal process improvements to provide greater scalability to our existing client solutions
- Work with data science and data engineering partners in the region and globally to adopt standards and guidelines
- Make sure that the legal/compliance/security related requirements are fully adhered to.

**Qualifications**:
**Basic Qualifications and Experience**
- Minimum of bachelor’s degree or equivalent. Masters is preferred
- Qualification in Data Science/Computer Science from reputed institutes.
- Total 4+ years of experience of which over 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
- Experience with complex, high volume, multi-dimensional data, as well as machine learning models based on unstructured, structured, and streaming datasets.
- 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 Power BI, Tableau, MicroStrategy, open-source tool, or similar will be a plus
- Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the ability to handle numerous projects
- Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.
- Appreciation of Payments and Banking domain will be a plus
- Experience in Marketing Analytics, Credit Risk or Fraud Risk analytics will be a plus
- Good communication and presentation skills with ability to interact with different cross-functional team members at varying level
- Understanding of credit bureaus and non-traditional data providers will be a plus

**Technical Expertise**
- Experience in writing and optimizing efficient SQL queries and Python/PySpark for data science
- Expertise in dashboard and report development using tools such as Tableau/Power BI/Micro Strategy
- Good understanding of Agile way of working, tools such as JIRA and practical experience of working in Agile teams.
- Experience in deployment, operationalization of Machine Learning models using MLOps techniques
- Working knowledge of Hadoop ecosystem and associated technologies, e.g., Hive, Apache Spark, MLlib, GraphX, sci-kit, and Pandas
- Experience with Apache Airflow will be an added advantage
- Understanding of best-in-class software engineering practices such as DevOps, CI/CD, and job automation will be a plus
- Experience with data APIs, containerized deployments will be an added advantage
- Experience of cloud-based data science platforms will be an added adva

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