Lead Data Scientist

Full time

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Employment Information

Job levelSenior level

IndustryIT Services and IT Consulting

Experience

LocationBudapest, Hungary

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Our Purpose

We 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, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.

Overview

Ekata Data Science team builds models for identity verification products. As a Lead Data Scientist, you will be responsible for exploratory data analysis and machine learning modelling for several initiatives. Your work will be high impact, strategic and innovative. The work is inherently challenging – we are looking for an entrepreneurial person who can ask the right questions, produce the best analytical approaches, collaborate with engineers, product managers and other teams, work fast and iterate to solve problems. This is an amazing opportunity to directly contribute to new products, innovate and solve real customer problems.

As a Lead Data Scientist, you will:

Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products
Work with multiple sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modelling
Generate and maintain and optimize data pipelines for model building and model performance evaluation
Develop, test, and evaluate modern machine learning models
Oversee implementation of models
Evaluate production models based on business metrics to drive continuous improvement

Essential Skills:

Experience with SQL language and database technologies
Experience with at least one programming language used frequently in data science and standard data science libraries (e.g., SparkML, Scikit Learn, XGBoost)
Effective communication skills
Highly skilled problem solver
Exhibits a high degree of initiative

Nice to have:

Master’s or PhD in Computer Science, Data Science, Machine Learning, or a related STEM field
Experience in with data engineering and model building in PySpark using Spark ML
Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error
Loves working with error-prone, messy, unstructured data

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.