Manager Data Science

About the Role

Key Responsibilities

• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, Kubernetes, and more to build sequence models to detect fraud risk using deep learning techniques like transformers, LSTMs, and embeddings of tabular data
• Connect deep technical modeling expertise to the pressing business goals of fraud prevention strategy partners to create solutions for demanding challenges
• Provide the engine to a research agenda with business opportunities at its heart
• Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry-leading fraud defenses
• Pilot machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

Requirements

• Currently has, or is in the process of obtaining a Bachelor's Degree plus 6 years of experience in data analytics, or a Master's Degree plus 4 years of experience, or a PhD plus 1 year of experience in data analytics
• At least 2 years' experience in open source programming languages for large scale data analysis
• At least 2 years' experience with machine learning
• At least 2 years' experience with relational databases
• Experience developing data science solutions using open-source tools and cloud computing platforms
• Comfortable with big data retrieval, combination, and analysis from various sources and structures
• Strong understanding of data as a key to effective data science
• Ability to challenge conventional thinking and work with stakeholders to improve processes
• Passion for talent development

Nice to Have

• PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 4 years' experience in Python for large scale data analysis
• At least 4 years' experience with machine learning and deep learning sequence modeling architectures

Qualifications

• Educational background as specified in requirements (Bachelor's, Master's, or PhD in relevant fields)

Benefits & Perks

• Competitive and inclusive health, financial, and other benefits supporting total well-being
• Performance-based incentive compensation, including cash bonuses and long-term incentives
• Salary ranges based on location, e.g., $193,400 - $220,700 in McLean, VA
• Opportunities for career growth and development