Senior Data Scientist

We are looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by challenging problems.

• Drive technical roadmap to extend risk monitoring across identified threat surfaces.

Use excellent data science practices to iteratively produce high performing models

Create immediate impact through sound and practical deliveries of risk monitors

Work with engineering colleagues to convey findings through data visualizations

Measure, tune and refine existing algorithms to incrementally improve performance

Analyze new and existing data after extracting, transforming and combining it in novel ways

Convey needs to engineering and operations teams to ensure healthy feedback loops

Attract and onboard new talent while preserving and enhancing existing culture

Build strong partnerships and collaborate with other teams across the enterprise

Demonstrate sense ownership and personal accountability for your team's work

Basic Qualifications:

5+ years applied data science experience, including 3 years of advanced analytics experience focused on enterprise-specific problem solving

2+ years management, mentoring, or other closely related team or people leadership experience

Experience in machine learning (supervised, semi-supervised or unsupervised learning)

Strong communication, delivery management, and leadership skills

Preferred Qualifications

A bachelor’s degree, MSc or Ph.D. in Statistics, Data Science, Artificial Intelligence, or equivalent alternative education or experience

Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g. PyTorch, Transformers, Tensor Flow, scikit-learn

Applied experience with Databricks and/or Azure ML

Strong coding abilities in one or more scripting languages like Python or SQL

Understanding of compliance, security, and risk domains along with associated patterns and data elements

Understanding of product and services activation, use, and transaction models and data

Understanding of statistical analysis and machine learning tools and practices

Understanding of Cloud-centric data processing and visualization approaches including SQL and No

SQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc

Familiarity with Agile software delivery including application lifecycle mgmt (SAFe, Azure Dev Ops/VSTS, Git)

All your information will be kept confidential according to EEO guidelines.