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Senior Data Science Manager, Head of N&B Client Analytics

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's it all about?

As Senior Data Science Manager, you are leading our growing Data Science function in the advisory service Visa Consulting & Analytics (VCA) and are part of Visa’s global Data Science community. You are accountable for driving the blueprint, development and delivery of data driven strategies and solutions for Visa’s external clients in Nordics and Baltics cluster. In this role, you collaborate with management consultants, account executives, business development and other internal functions to support our clients’ with their most pressing issues and biggest opportunities. Your innovative and scalable solutions help drive our clients’ and Visa’s business performance as well as enhance payment experiences of millions of customers across the region.

What we expect day to day:

Are you an adept problem solver who applies both innovation and logic to solve complex problems? Would you like to leverage one of the largest payment behavioural data sets in the world to uplift everyone, everywhere? If so, this is what we are looking for you to do with us:

  • Leading and growing the Data Science team and function within VCA in the N&B

  • Work closely with clients to understand their needs and develop data-driven solutions.

  • Develop and implement advanced analytical models to solve complex business problems.

  • Collaborate with cross-functional teams to implement and refine data science solutions.

  • Present data-driven insights and recommendations to clients and internal stakeholders.

  • Maintain up-to-date knowledge of industry trends and advancements in data science.

  • Ensure the quality and accuracy of data science outputs.

  • Mentor and guide data scientists and analysts.

  • Manage resources and project timelines to ensure timely and successful project delivery.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

• Master’s degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field (or equivalent experience)
• Proven experience in a leadership role in data science or analytics: building and cultivating teams
• Strong experience with data science tools and programming languages such as Python, R, or SQL
• Experience with payments data is highly desirable
• Excellent client-facing and communication skills
• Ability to translate complex data-driven insights into understandable and actionable recommendations
• Strong problem-solving skills and analytical thinking
• Ability to work in a fast-paced, deadline-driven environment
• Fluency in English

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.

What You Should Know About Senior Data Science Manager, Head of N&B Client Analytics, Visa

At Visa, we're seeking a Senior Data Science Manager for our Head of N&B Client Analytics role, located in the vibrant city of Stockholm, Sweden. In this exciting position, you will be at the forefront of our Visa Consulting & Analytics (VCA) team, focusing on developing data-driven strategies that empower our clients in the Nordics and Baltics. If you have a knack for innovative problem solving and a passion for transforming complex data into actionable business insights, you’ll fit right in! You'll lead a dynamic Data Science team, collaborating with various internal teams and clients to address their most pressing challenges. Every day, you’ll dive into one of the largest payment behavioral datasets globally, equipping yourself with the tools to enhance the payment experiences of millions of customers. Your leadership will not only inspire your team but also ensure the delivery of high-quality analytical models that tackle real-world issues. In this hybrid role, you’ll have the flexibility to work remotely while also enjoying the benefits of in-office collaboration a few days a week. If you thrive in a fast-paced environment and have a proven track record of making impactful data-driven decisions, consider joining us at Visa, where you can make a significant impact in a purpose-driven industry. Let’s uplift everyone, everywhere, together!

Frequently Asked Questions (FAQs) for Senior Data Science Manager, Head of N&B Client Analytics Role at Visa
What are the responsibilities of a Senior Data Science Manager at Visa?

As a Senior Data Science Manager at Visa, your responsibilities encompass leading the Data Science team within Visa Consulting & Analytics, developing data-driven solutions for clients, implementing advanced analytical models, and collaborating with cross-functional teams. You'll also be responsible for mentoring your team, managing project timelines, and ensuring that all data outputs maintain high quality and accuracy.

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What qualifications are needed for the Senior Data Science Manager position at Visa?

For the Senior Data Science Manager role at Visa, candidates should possess a Master's degree or Ph.D. in a related field such as Computer Science, Data Science, or Statistics. Additionally, proven leadership experience in data science, expertise in tools like Python and SQL, and strong client-facing communication skills are essential to succeed in this role.

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How does Visa support the growth of its Data Science team?

Visa fosters the growth of its Data Science team by providing mentorship opportunities, professional development resources, and a collaborative environment. The Senior Data Science Manager will play a crucial role in this initiative by guiding and mentoring junior data scientists, ensuring they have the skills and support needed to thrive in their careers.

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What tools and programming languages are important for the Senior Data Science Manager role at Visa?

In the Senior Data Science Manager role at Visa, strong experience with data science tools and programming languages such as Python, R, and SQL is vital. Familiarity with payments data and related analytical technologies also provides a significant advantage in developing impactful solutions for clients.

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What kind of work environment can one expect in the Senior Data Science Manager position at Visa?

The work environment for the Senior Data Science Manager position at Visa is hybrid, allowing for a flexible mix of remote work and in-office collaboration. Employees are expected to be in the office 2-3 days a week, promoting teamwork and engagement, while also accommodating the needs of a modern workforce.

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Common Interview Questions for Senior Data Science Manager, Head of N&B Client Analytics
How do you approach developing data-driven solutions for clients?

When developing data-driven solutions for clients, I begin with a comprehensive understanding of their needs and challenges. I prioritize data analysis to identify patterns and insights, which guide the creation of tailored strategies. Collaboration with clients and cross-functional teams throughout the process ensures my solutions are effective and actionable.

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What experience do you have with payments data?

I have extensive experience working with payments data, including analyzing transaction trends and consumer behavior. This hands-on experience allows me to identify unique insights and develop innovative solutions to enhance clients' payment experiences, ultimately supporting their business goals.

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Can you describe a complex problem you solved using data science?

Certainly! I once tackled a challenge involving transaction fraud detection. By applying advanced analytical models and machine learning techniques, I was able to significantly reduce false positives and enhance detection rates, effectively safeguarding our clients while maintaining a smooth customer experience.

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How do you ensure the quality and accuracy of data science outputs?

To ensure quality and accuracy, I implement a rigorous validation and testing process for all data science outputs. This includes continuous monitoring, peer reviews, and leveraging automated testing tools to catch discrepancies early. It’s essential to foster a culture of accountability and precision within the team.

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What is your approach to mentoring junior data scientists?

My approach to mentoring junior data scientists involves providing guidance on both technical skills and career development. I encourage open communication and regular feedback sessions to help them navigate challenges and foster a continuous learning environment, allowing them to grow confidently within their roles.

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How do you stay updated with the latest trends in data science?

I stay updated with the latest trends in data science by following industry leaders, participating in professional networks, and attending conferences. I also engage with online courses and webinars that focus on emerging technologies and methodologies, ensuring that my knowledge remains current and relevant.

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Can you explain a situation where you collaborated with cross-functional teams?

In my previous role, I collaborated with marketing and product teams to develop a customer segmentation model. We combined insights from various departments, which helped refine our targeting strategies. This cross-functional collaboration not only improved our campaign effectiveness but also enhanced communication across teams.

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How do you prioritize tasks in a fast-paced environment?

In a fast-paced environment, I prioritize tasks by assessing urgency and impact. I utilize project management tools to outline deadlines and set milestones, which ensures that critical tasks are completed first, aligning resources effectively to meet the overall objectives of the projects I oversee.

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What strategies do you use to present data-driven insights to clients?

I use clear, visually engaging presentations to communicate data-driven insights to clients. Simplifying complex data into digestible formats and highlighting actionable recommendations helps clients understand the implications. I encourage questions throughout the presentation to foster an engaging discussion.

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Why do you want to work for Visa as a Senior Data Science Manager?

I am drawn to Visa's commitment to innovation and its mission to uplift everyone, everywhere. The opportunity to lead a talented Data Science team in a dynamic, purpose-driven organization excites me, as I believe I can bring my skills and passion for data to drive impactful solutions for clients and enhance payment experiences.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
December 1, 2024

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