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Mastercard

Data Scientist II

  • Office
  • 3-6 years
  • English (B2)

Salary

Not stated

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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 dynamic Data Scientist 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?

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.

All About You

3+ years experience in Data Science, Data Analytics . Business Insights

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

Strong knowledge of latest AI/ML technologies and trends, including various libraries and tools

Must be able to interact with management, senior stakeholders and collect requirements

Role

Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint.

Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis

Financial Institution or a Payments experience a plus

Experience presenting data findings in a readable and insight driven format. Experience building support decks.

Advanced SQL coding

Experience on Platforms/Environments: SQL Server, Microsoft BI Stack

Apply quality control, data validation, and cleansing processes to new and existing data sources

Translate business requirements into tangible solution specifications and high quality, on time deliverables

Create repeatable processes to support development of modeling and reporting

Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Excel and PowerPoint.

Apply quality control, data validation, and cleansing processes to new and existing data sources

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.

Additional Competencies

Able to prioritize and perform multiple tasks simultaneously

Creativity/Innovation

Excellent English, quantitative, technical, and communication (oral/written) skills

Analytical/Problem Solving

Strong attention to detail and quality

Self-motivated, operates with a sense of urgency

Project Management

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

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

Role

Category
Data & Analytics
Specialty
Data Science
Experience
3+ 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

Requirements

Languages
  • English (B2)

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