You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
Mastercard

Manager - Data Scientist

  • Office
  • 6+ years

Salary

Not stated

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Role Overview

We are seeking an experienced and dynamic Manager of Data Science in our Product Data Analytics team, based in Lisbon , Portugal.

Are you excited about Data Assets and the value they brings to an organization?

Are you an evangelist for data driven decision making?

Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?

Do you want to be the go-to resource for data analytics in the company?

Reports to: Director/ VP Data Science and Analytics

Team overview:

Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data‑driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go‑to‑market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost‑efficient manner.

Responsibilities

  • Leadership & Team Management:
  • o Lead, mentor, and develop a high-performing team of Data Analysts, Senior Data Scientists, and Business Analysts.
  • o Foster a culture of innovation, collaboration, and continuous learning within the team.
  • o Ensure the team meets performance targets and contributes effectively to the department’s goals.
  • Data Analytics & Strategy:
  • o Develop and execute a comprehensive data analytics & infrastructure strategy
  • o Leverage data analytics to drive insights, identify opportunities, and support strategic decision-making.
  • o Ensure the delivery of high-quality analytical solutions that meet business needs and enhance market competitiveness.
  • Project Management
  • o Oversee the planning, execution, and delivery of data analytics projects, ensuring they are completed on time, within scope, and to the highest quality standards.
  • AI Advanced Analytics & Innovation:
  • o Lead the development and deployment of advanced analytics models, including predictive and prescriptive analytics, to solve complex business problems.
  • o Stay updated with the latest trends and technologies in data science and analytics to drive innovation within the team.
  • Stakeholder Management:
  • o Collaborate with senior leadership, to align analytics initiatives with overall business objectives.
  • o Communicate complex data insights and analytical solutions effectively to non-technical stakeholder
  • All About You
  • 9+ years experience in Data Science, Data Analytics . Business Insights
  • Coach, train and mentor team on data analytics solutions
  • Strong knowledge of latest AI/ML technologies and trends, including various libraries and tools
  • Experience across data analytics project lifecycle - data management, data mining, data analytics, data reporting, data product development
  • Translate business requirements into tangible solution specifications and high quality, on time deliverables
  • Experience with data visualization tools such as Tableau, PowerBI
  • Experience with Hadoop environments, SQL, Python
  • Excellent problem solving, quantitative and analytical skills
  • Team player, excellent communication skills
  • Must be able to interact with management, senior stakeholders and collect requirements
  • Education
  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • Advanced degree (MBA, Master’s in Statistics, Data Science, or a related field) is highly preferred.
  • Corporate Security Responsibility
  • All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
  • Abide by Mastercard’s security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Where you’d work

From the office

About the company

Mastercard

  • Industry: FinTech

Office in Lisbon, Portugal

Also hiring in Dublin, Ireland, United States, New York, United States and 27 more places

4 of their 251 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 20 checks run
  • 2 red flags

Still hiring?

14 checks

1 red flag

How crowded?

6 checks

1 red flag

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Tableau
  • Power BI
Seniority
Lead
Type
Full-time
Industry
FinTech
Specialty
Data Science
Region
Europe
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Lead
Experience
9+ years
Tech stack
  • Python
  • SQL
  • Tableau
  • Power BI

Location

Work model
Office
Region
Europe
Office
  • Lisbon, Portugal

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior Data Scientist

    Salary by agreement

    • Office · Berlin
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Staff Data Scientist

    $160,000 - 340,000 / year

    • Remote · US
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior Data Scientist

    $130,000 - 185,000 / year

    • Hybrid · San Francisco
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Lead Data Scientist

    $140,000 - 235,000 / year

    • Office · Salt Lake City, US
    • Lead & Manager

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason