Lead Field Data Scientist (IDS1064)

Key Skills

Data science techniques, Effective communication skills, IT, Machine learning techniques, Python Programming, SQL, Streaming APIs

Job Description

As a Lead Field Data Scientist at Ekata, a Mastercard Company, you will have a diverse set of responsibilities supporting sales (pre-sales), customer success (post-sale), and product development, with the aim of supporting, growing, and developing a best-in-class product suite in the identity verification industry. The role is focused on making sure potential prospects & clients see the best possible value from the Ekata data ecosystem through machine learning or rule-based systems. As a product implementation expert, you will advise customers how to best leverage Ekata data in their fraud workflows through proof of value tests.

Role

As a Lead Field Data Scientist you will:

* Support the sales team to ensure Ekata can highlight the maximum benefit of its dataset, through proof of value (POV) tests.

* Support development of machine learning and rules-based models to maximize fraud detection and false positive reduction for clients.

* Understand customer business needs and workflows, using this knowledge to position Ekata products and design solutions using them.

* Proactively nurture & maintain one-on-one relationships with customer data scientists, with the aim of providing deep insights for development of fraud models.

* Acquire a deep knowledge of Ekata products and data, using this knowledge to act as subject matter expert for customers.

* Identify & analyze Ekata data features that a) could be adapted to provide better value b) not currently provided by Ekata and would add value c) are not providing and should be removed to reduce signal to noise ratio.

* Work with customer IT and engineering resources to QA their integration of Ekata APIs and ensure the correct data is available for modeling.

* Assist with internal training on Ekata products, data, and processes.

* Attend product spec reviews to bring customer facing perspectives and share feedback from the market.

All About You

* Computer/Data Science or Engineering degree, or equivalent experience.

* Advanced experience in a machine learning or data analytics capacity.

* Extensive experience in a customer-facing or heavily cross-functional role with strong data science centric project management experience.

* Excellent scripting and analysis skills in python and SQL.

* Excellent presentation and communication skills.

* Ability to create and understand supervised machine learning models.

* Experience in understanding customer needs and using those to build design docs or technical specifications.

* Proven ability to establish credibility with technical leaders in customer organizations.

In the US, 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.

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.

Pay Ranges

Seattle, Washington: $158,000 - $245,000 USD