MasterCard Data Scientist - NuData Security in Vancouver, Canada
Who is Mastercard?
We are the global technology company behind the worlds fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless ®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
Data Scientist - NuData Security
Mastercard's Enterprise Security Solutions organization develops and delivers world-class security products and services for customers across the globe. NuData Security predicts fraudulent transactions by identifying good users from bad, based on their online behavior. By analyzing over 38 billion behaviors annually, NuData harnesses the power of behavioral and biometric analysis to empower its clients to predict fraud and verify the user behind the device. This allows clients to predict fraud before a critical decision, reduce customer insult, and investigate bad actors efficiently.
We are looking for a Data Scientist to join our team in our Vancouver office. This is a key role within the team responsible for developing NuDatas Biometrics and Behavioural modelling, and youll have exciting responsibilities, including:
Developing machine learning models in collaboration with an agile, high-functioning team.
Spotting new opportunities in data collection, feature creation, feature selection, model tuning and evaluation practices, then taking those ideas from first concepts to live product integrations.
Implementing effective monitoring and benchmarking for models and identifying gains from detailed analysis of massively parallel model deployments.
Incubating new research in data modelling to identify opportunities, pioneering the algorithms and systems that become key commercial products.
All About You
Experienced in deploying machine learning models to solve real problems and generate competitive edge. Ideally you have successfully developed, deployed, monitored and iterated over production models in business contexts.
An innovative solution architect were looking for someone who can design an effective machine learning solution and who has the vision to see what the next generation model might look like.
A capable coder, able to write well-abstracted, reusable code in Python, R or Java. Youre experienced with web services (e.g. EC2, EMR, Lambda, Sagemaker, Glue, Kinesis, Redshift), and machine learning tools (e.g. Tensorflow, Keras, MXNet, Gluon).
Statistically adept. You have the depth of knowledge required to identify appropriate techniques, follow and create formal proofs, define apt performance measures and adeptly explore or transform data. Ideally you have studied in a quantitative field at a Doctoral or Masters level.
Experienced working with large data sets. You understand the benefits of batch processing and parallelization and know how to design a pipeline to scale out machine learning workflows. Ideally you have experience working with Spark.
An effective communicator in visual, verbal and spoken channels, able to identify a narrative in complex data and produce clear, actionable findings.
It also helps if you are:
Collaborative. We do our best work as a team, which means sharing, being open to support and giving constructive input.
Evidence-based. We work to eliminate assumptions and test our hypotheses, and we value rigor.
Responsible. We offer the opportunity to drive major projects that protect consumers every day, internationally. We are looking for colleagues who care about that.
Motivated. Were a team of data scientists with personal and collaborative side projects, and were looking for someone who shares our enthusiasm.
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.
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Requisition ID: R-65735