Staff Data Scientist

Summary

Join Crunchbase's Signals Team as a Staff Data Scientist to build and shape the intelligence layer for Crunchbase signals products. You will empower a data-driven culture, scale ML algorithms, and provide technical leadership. Collaborate with cross-functional teams, mentor junior engineers, and evaluate emerging technologies. Crunchbase offers a remote-first policy, competitive salary and equity, generous PTO, and comprehensive benefits. The ideal candidate is a creative innovator with strong communication and hands-on skills, passionate about data and user experience.

Requirements

• Excellent communication skills, capable of simplifying complex issues for effective collaboration
• Proven track record in dimensional data modeling, ETL pipeline development, and system architecture
• Proficiency in Python
• Familiarity with data warehousing technologies and cloud platforms
• Experience implementing NLP and ML algorithms in production environments
• Strong problem-solving skills and effective communication abilities
• Demonstrated leadership skills with the ability to guide and mentor team members
• Proficient with Google Office Suite or related software
• Bachelor's degree in Computer Science, Engineering, or a related field preferred
• 6+ years of professional engineering experience working with technologies (Python, SQL, pandas, etc)

Responsibilities

• Provide the foundation for a data-driven culture by developing tools and processes for engineers and the Product team to easily query and analyze datasets
• Enable data scientists to implement Natural Language Processing (NLP) and Machine Learning (ML) algorithms at scale while designing fault-tolerant, highly available systems to support the deployment and execution of ML models
• Contribute to the design key component in our architecture and platform. Consider business requirements and tradeoffs and implement a variety of solutions to address our data needs of our data architecture, ensuring scalability and efficiency. Own key projects end-to-end and influence the mid and long term technical direction of our data platform
• Mentor junior engineers, foster a culture of technical excellence, professional growth and continuous learning
• Collaborate with other engineering teams, product and analytics engineers, data scientists, and other team members to integrate solutions into our datatech ecosystem. Communicate effectively with non-technical stakeholders to gather requirements and provide data engineering support
• Stay informed about emerging technologies and industry best practices. Evaluate and recommend new tools and technologies to enhance our data capabilities
• Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner
• Performs other related duties as assigned

Preferred Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field

Benefits

• Competitive salary and equity in the form of stock options
• Remote first policy
• Generous Reimbursement policy for learning and development activities
• Monthly Wellness stipend
• 14 weeks of fully-paid time off for various life situations (like welcoming a new born or caring for family)
• Flexible Paid Time Off (PTO)
• Volunteering Paid Time Off
• Incredible medical, vision and dental benefits for employees and their families (including PPO, HDHP, and INO plans)
• 401(k) and Roth plans, and free annual financial adviser check-in
• Monthly internet stipend
• Work from home allowance to purchase furniture for your work from home space
• Matching charity contributions for our Townhall awards