Staff 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

We are seeking a Staff Data Scientist to join our data science team in Bengaluru. This individual contributor role will be responsible for driving data-driven decision making across the organization. They will collaborate with business stakeholders, understand their problems, and design data-based solutions for them.

Key responsibilities include:

1. Develop and implement machine learning models, perform data analysis, and create predictive models to support the Client Services teams.

2. Collaborate with stakeholders across the organization to understand their data science needs and provide solutions.

3. Conduct research to identify new methods and techniques to improve existing models.

4. Create visualizations to communicate complex data and insights in a clear and effective manner.

5. Ensure data quality throughout all stages of acquisition and processing, including data cleaning, normalization, and transformation.

6. Continually monitor and evaluate the performance of the models.

7. Provide data-driven insights and recommendations to stakeholders.

8. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.

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

Qualifications

Basic Qualifications
•6 or more years of relevant work experience with a Bachelors Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD)

Preferred Qualifications

• 6 - 8 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) of experience in data science, machine learning, AI, or a related field.
• Proficient in Python, R, SQL, and other data science tools.
• Experience with big data platforms like Hadoop, Spark, or similar technologies.
• Strong knowledge of machine learning techniques and algorithms.
• Experience with Generative AI techniques.
• Familiarity with Large Language Models such as OpenAI's GPT-3, and open-source models like Falcon or Llama2.
• Proficient in Machine Learning Operations (MLOps), including deployment and maintenance of machine learning models.
• Excellent problem-solving skills and ability to think critically.
• Strong communication skills with the ability to hold conversations with non-technical stakeholders.
• Familiarity with the sales and client services industry is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure is good to have.
• Knowledge of data privacy and security principles.
• Familiarity with data visualization tools like Tableau, PowerBI, or similar.
• Ability to work in a team and independently as required.
• Proficient in using Git and version control systems.
• Experience in working with unstructured data.
• Familiarity with containerization technologies like Docker or Kubernetes.

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.

Client-provided location(s): Bangalore, India

Job ID: cc3a1a89-fb14-45f4-ab24-cb3c1bebb14f

Employment Type: OTHER

Posted: 2025-09-01T05:43:48