Remote Staff Data Scientist

Summary

Join our team as a Staff Data Scientist to elevate our data science execution to the next level. You'll lead impactful projects, mentor junior data scientists, and raise technical standards across the team.

Requirements

• Mastery of Data Science Stack: You're fluent in Python/R and SQL, with deep expertise in data science libraries (e.g. scikit-learn, pandas)
• Modeling Expert: Your toolkit spans from classical statistical methods to state-of-the-art machine learning techniques
• Big Data Proficiency: You're comfortable working with large-scale data using technologies (e.g. Spark), and you understand the challenges of scaling data processing pipelines
• Statistical Rigor: You have a strong foundation in statistics and know how to design and analyze experiments to drive data-informed decisions
• Data Storytelling: You excel at turning complex analyses into clear, compelling narratives through visualization and effective communication
• Project Leadership: You have a track record of successfully leading complex data science initiatives that deliver tangible business value
• Bar Raiser: You're passionate about mentoring other data scientists and raising the technical bar for the entire team
• Product-Driven Mindset: You thrive in fast-paced environments and know how to balance speed with quality to drive rapid product impact
• Engineering Best Practices: You're well-versed in software engineering principles like version control, testing, and code review, ensuring your team produces robust, maintainable code
• Influence Without Authority: You can effectively communicate with and influence stakeholders across the organization, from engineers to executives
• Clear Communication: You have a knack for breaking down complex technical concepts into easily digestible explanations for diverse audiences
• Effective Prioritization: You're skilled at managing multiple competing priorities and helping your team do the same, always focusing on high-impact work

Responsibilities

• Architecting Data Science Solutions: Lead the conceptualization and planning of data science initiatives that align with and drive key business objectives
• Solving Complex Data Challenges: Spearhead the development and implementation of sophisticated data models and algorithms, diving into hands-on coding for the most critical components
• Elevating Team Standards: Guide the technical direction of the team through thoughtful code reviews and targeted mentorship, fostering a culture of excellence and continuous improvement
• Shaping Product Strategy: Collaborate closely with product managers to identify opportunities where data science can drive product innovation and user value
• Influencing Business Decisions: Synthesize complex analyses into actionable insights, presenting compelling data-driven narratives to inform senior leadership's strategic decisions
• Advancing Technical Capabilities: Evaluate and implement cutting-edge data science methodologies and tools, ensuring the team stays at the forefront of the field
• Optimizing Data Infrastructure: Partner with data engineers to enhance data pipelines, logging systems, and MLOps practices, creating a robust foundation for advanced analytics and modeling
• Cultivating Data Science Knowledge: Author technical documentation and thought leadership pieces to disseminate key insights, best practices, and learnings across the organization