Open Data Science job portal

Lead Data Scientist 44 views

They work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, their innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Their decency quotient, or DQ, drives their culture and everything they do inside and outside of their company. They cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. They believe that their differences enable them to be a better team – one that makes better decisions, drives innovation, and delivers better business results.

Overview

Mastercard Cyber and Intelligence (C&I) develops and delivers world-class risk, security products, and services for Mastercard customers across the globe. As part of this organization, the Fraud Intelligence & Strategy Team (FIS) is responsible for:

  • Providing Fraud analytics and insights to Mastercard and its worldwide customers
  • Maintenance of existing and development of new fraud prevention and monitoring data-driven products/services

Role

  • Analyze fraud and other transactional data sources to measure fraud and to identify its key drivers. Provide data-driven fraud insights to internal and external partners
  • Build analytical pipelines to help Mastercard identify sources of payment card risk (i.e., at-risk merchants, at-risk cards)
  • Build new fraud and breach detection models and improve existing models
  • Discover possible future uses of Mastercard data to enhance fraud analytics and reduce fraud
  • Translate conceptual ideas into tactical experiments and test plans for rapid prototyping
  • Mentor other team members to expose them to new concepts and facilitate cross-training within the team

Technical Skills

  • Proven experience analyzing a large amount of data to identify trends /gain insights from it
  • Experience with statistical analyses tools (e.g., Python, R, SAS)
  • Experience with modeling techniques – fraud detection, pattern matching, clustering algorithm, machine learning, and/or AI
  • Record of accomplishment in learning and applying new techniques and data analysis languages
  • Experience working with big-data database platforms to manipulate and extract information for analysis (e.g., Hadoop, Netezza, Oracle)
  • Experience writing complex queries to efficiently extract and manipulate large amounts of data
  • Experience with Python and Spark for data manipulation
  • Ability to efficiently manipulate large amounts of data to conduct analysis
  • Comfortable working with multiple languages and operative systems
  • Familiarity and experience with UNIX highly desired
  • Highly desired, experience preparing presentations for management/clients that present insights clearly and efficiently

Business Skills

  • Creativity and Innovation
  • Ability to think outside the box and constantly strive for more accurate and efficient ways to perform tasks
  • Experience developing new products/services
  • Highly desired – subject matter expertise in payments, cards, and /or fraud or proven ability to learn and master new subject matter areas
  • Ability to combine knowledge across multiple disciplines to solve problems
  • Strong organizational skills and motivation
  • Proven ability to develop and execute work plans and work independently towards aggressive goals and milestones
  • Ability to multi-task and make progress towards multiple tasks in parallel
  • Strong communication and collaboration
  • Ability to clearly articulate results of analyses, in writing and verbally, and to work effectively with all levels within the organization
  • Excellent interpersonal skills, able to work with colleagues remotely as well as in-person

Education

  • Degree in quantitative discipline preferred (e.g., Mathematics, Statistics, Operations Research, Computer Science, Decision Science or Engineering)
  • Strong Interest and course-work (or demonstrated track record) in data analysis, model building, and/Machine Learning/ AI

Due to COVID-19, most of their employees are working from home. They’ve implemented a virtual hiring process and continue to interview candidates by phone or video and are onboarding new hires remotely. They value the safety of each member of their community because they know they’re all in this together.

Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

If you require accommodations or assistance to complete the online application process, please contact reasonable.accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

More Information

Share this job
Company Information
Connect with us
Contact Us
https://jobs.opendatascience.com/wp-content/themes/noo-jobmonster/framework/functions/noo-captcha.php?code=1af18

Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.