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トレンド企業

トレンド企業

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求人Mastercard

Senior Data Scientist

Mastercard

Senior Data Scientist

Mastercard

Gurgaon, India

·

On-site

·

Full-time

·

2mo ago

福利厚生

Healthcare

401(k)

Equity

Flexible Hours

Remote Work

Gym

Pet Insurance

Mental Health

Parental Leave

Learning

Commuter

必須スキル

SQL

Data Analysis

Data Visualization

Data Mining

Tableau

PowerBI

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

Senior Data Scientist:

Overview:

  • Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
  • 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?

The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

  • Role & Responsibilities

  • Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.

  • Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights.

  • Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.

  • Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions.

  • Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects

  • Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint.

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

  • Lead, mentor and guide more junior team members.

  • Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.

  • Bring your Passion and Expertise

  • All About You

  • 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 skills, ability to write optimized queries for large data sets (Big data)

  • Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack

  • Experience with data visualization tools such as Looker, Tableau, PowerBI

  • Experience with Python, R, a plus

  • Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage

  • Excellent problem solving, quantitative and analytical skills

  • In depth technical knowledge, drive and ability to learn new technologies

  • Strong attention to detail and quality

  • Team player, excellent communication skills

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

  • Must be able to perform in a team, use judgment and operate under ambiguity

Education:

  • Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred

  • Additional Competencies

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

  • Analytical/Problem Solving

  • Strong attention to detail and quality

  • Creativity/Innovation

  • Self-motivated, operates with a sense of urgency

  • Project Management/Risk Mitigation

  • Able to prioritize and perform multiple tasks simultaneously

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.

総閲覧数

2

応募クリック数

0

模擬応募者数

0

スクラップ

0

Mastercardについて

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

従業員数

Purchase

本社所在地

$360B

企業価値

レビュー

3.6

10件のレビュー

ワークライフバランス

4.1

報酬

3.4

企業文化

4.0

キャリア

2.3

経営陣

3.2

65%

友人に勧める

良い点

Good benefits and compensation

Collaborative environment and great colleagues

Supportive work-life balance

改善点

Limited career advancement opportunities

Management and leadership issues

Heavy workload and stress

給与レンジ

51件のデータ

L5

L6

L7

L9

Mid/L4

Director

L5 ·

0件のレポート

$231,000

年収総額

基本給

-

ストック

-

ボーナス

-

$196,350

$265,650

面接体験

7件の面接

難易度

3.3

/ 5

期間

14-28週間

内定率

29%

体験

ポジティブ 0%

普通 86%

ネガティブ 14%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience