Manager Data Science

**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 Science Manager does at Visa**:
The Data Science Manager will be the strategic orchestrator of our data and analytics ecosystem, translating complex business challenges into impactful data solutions for our clients. This role requires a visionary who can integrate business strategy with technical execution, managing entire lifecycle of data products. You will identify, prioritize, and drive data initiatives to uncover strategic insights, collaborating closely with cross-functional teams to convert raw data into actionable business value.

**Why this is important to Visa**

This role will support our client’s business by driving sales growth, optimizing marketing efforts, and improving customer engagement. It offers opportunities for professional growth in data analytics, enhancing your skills with cutting-edge tools. You will collaborate with diverse teams and explore innovative solutions to make data-driven decisions.

**Qualifications** What you will need**:

- Degree in Business/ Statistics/ Mathematics/Computer Science with 5-8 years of relevant experience in database marketing, customer data analytics or customer data science.
- Strong technical skills with a focus on data analytics
- Experience handling large datasets on transaction-heavy platforms
- Hands-on experience with optimization engines for targeted marketing offers
- Proficiency in in working within data science teams, and product teams utilizing the latest software including capable experience with latest tools like SQL, SAS,R, HADOOP, PYTHON, SPARK, HANA, TABLEAU, and other latest data platforms
- Ability to work independently and manage ambiguity
- Strong problem-solving skills and clear, structural thinking
- Highly motivated, meticulous and results oriented
- Resourceful with excellent problem-solving abilities
- Excellent interpersonal, communication and project management skills
- Team player with the ability to collaborate effectively with stakeholders across various functions

**What will also help**:

- Preferably with working experience in commercial or operational decision-making
- Preferably worked on retail and new e-biz enabled models, including data architecture or data engineering.

**Projects you will be a part of**:

- Analyse business performance and trends to identify potential opportunities for sales growth
- Conduct in-depth analysis to understand key sales drivers and develop actionable business recommendations
- Identify customer segments and understand their buying behavior, demographics and life stage to develop engagement strategies
- Measure the effectiveness of pricing and promotional activities in stores
- Develop recommendations for different promotional mechanics
- Uncover insights, both descriptive and predictive, for the end-to-end customer management journey, including acquisition, utilisation, retention and reactivation
- Develop dashboards to enable self-service analytics across various functions within the organization
- Drive transformational change towards customer centricity and data driven decision making within the organization

**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.