Why We Need You:

As a Principal Data Scientist, you will be responsible for identifying, scoping, and delivering features with a focus on data science and machine learning. You will anticipate data and science-related bottlenecks, suggest escalation and investment wherever necessary, communicate immediate and long-term technical as well as strategic solutions and trade-offs, and will possess an excellent capacity to manage time. In addition, you will demonstrate emotional intelligence as you navigate stakeholder relationships championing data science and machine learning in the organization. If you are technically savvy, innovative, and excited about fostering an environment amongst our engineers that helps create avenues for success and learning, then this is an excellent opportunity for you.

How you contribute to our vision: Key Responsibilities

• Build data-driven solutions to solve business-critical problems across multiple domains 
• Work both independently and collaboratively with other data scientists, product managers, engineers, and designers to solve complex problems that deliver business value
• Drive and Influence leadership to drive more data-informed decisions
• Provide guidance, technical leadership, and mentoring to other members of the team
• Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt

Minimum Requirements

• Graduate degree in computer science, statistics, mathematics, or related quantitative field.
• You have 8+ years of experience using machine learning for building data-driven product solutions for large-scale systems.
• Hands-on experience in Python, SQL, and other related tools
• Have an entrepreneurial mindset to drive research projects to completion with minimal guidance.
• Strong ability to justify technical prioritization and communicate scientific work in a clear and effective manner to stakeholders, other engineers, and Product
• Experience working with Engineering teams ensuring a timely delivery
• Ability to articulate difficult technical nuances to different audiences 
• Passionate about the field of data science and creating impact in the organization driving strategic data science ROI discussions