Senior Data Scientist

Role Description

The Sr Data Scientist executes statistical and mathematical analyses to support business decision-making. This role supports artificial intelligence/machine learning (AI/ML) in a deployed production environment. They are experts in the field of Data Science. Consequently, the Sr Data Scientist proactively works with cross-functional teams to seek and understand the business/domain context of potential problems that may be solved using ML. They present data science solutions to stakeholders in an iterative fashion. The Sr. Data Scientist works with Associate Data Scientists and Data Scientists in converting a business problem into an ML problem and kickstarting foundational work including data exploration, feature engineering, basic hypothesis testing, and creation of baseline models. They create the model feasibility document in close collaboration with the Data Scientists and Sr Data Scientists. The Sr Data Scientist may have direct reports including Associate Data Scientists and Data Scientists.

This position is remote which means the work can be completed from anywhere in the United States except Hawaii or United States Territories.

Qualifications

• Master’s degree in data science/mathematics/CS/statistics or similar field and 3+ years of experience OR Bachelor's degree and 6+ years of experience in data science
• Effective written, verbal, and interpersonal communication skills
• An expert-level understanding of various data science topics
• Working knowledge of Agile/SCRUM methodologies with 1-2 years of experience
• Sufficient intellectual curiosity to investigate the latest developments in the field
• Ability to see the big picture and anticipate issues
• At least 1+ years of working with a major cloud platform
• Working knowledge in handling large datasets in a cloud environment
• Working knowledge of how APIs work, CI/CD (Continuous Integration/Continuous Deployment)
• Understanding of DevOps and MLOps principles
• 1+ years of writing production-grade code in scripting languages including Bash, Python, and SQL
• Proven, independent ability to navigate a data lake environment
• Effective skills in creating, deploying, and troubleshooting containers in the context of ML modeling
• 1+ years of experience with version control systems/concepts, such as Git
• Ability to investigate/research ML frameworks/algorithms, datasets, feature stores
• Capability of providing macro-level thought leadership to junior members

Requirements

• Independently manage multiple data science model development/projects
• Collaborate and engage with various cross-functional stakeholders
• Provide full ownership of the model development from inception to implementation
• Mentor the Associate Data Scientists and Data Scientists
• Coordinate with the ML team, anticipating deployment issues upfront
• Take and delegate ownership of critical tickets or issues
• Read and independently navigate through extensive codebase
• Contribute to coding standards and coding conventions
• Create and maintain documentation of the ML models, data sources, and methodology
• Assist in the creation of feasibility documents
• Proactively participate in the core team processes
• Share knowledge with other various teams and members
• Guide usage of development methodologies (Scrum, Kanban, etc.)

Benefits

• Health insurance
• Pre-tax spending accounts
• Retirement benefits
• Paid time off
• Short-term and long-term disability
• Employee stock purchase plan
• Life insurance