Crunchbase helps over 75 million people around the world connect with the companies and people that matter. Powered by best-in-class proprietary data, Crunchbase is democratizing access to opportunities so salespeople, entrepreneurs, investors, job seekers, and others can accelerate innovation for a better future. We’re proud to build intelligent products that shape how companies and people connect and enable them to communicate in a more meaningful way.

Engineering Manager

Staff Data Scientist (Crunchbase Signals Team)Remote, US-based (California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, Washington) About Crunchbase:Crunchbase is a leading platform that offers predictive solutions powered by live private company data, AI, and market activity. With over 80 million users, we help investors, dealmakers, and analysts navigate private market movements, enabling them to make informed decisions. We aim to provide a transparent, diverse, and inclusive environment, hiring talented individuals with different backgrounds and skill sets.We operate with a remote-first approach, and we value transparency, openness, and inclusivity. Crunchbase offers competitive pay, a generous PTO policy, and comprehensive wellness benefits, creating an enriching experience for all employees.The Crunchbase Engineering Team:We are a fast-paced, dynamic team that values open communication and innovation. Our engineering teams work cross-functionally to build high-quality, scalable products. We’re looking for forward-thinking, hands-on engineers who love collaborating and driving impactful change.The Signals Team at Crunchbase:The Crunchbase Signals team is dedicated to delivering insights and predictions for our users, enhancing their Crunchbase experience through machine learning and data-driven solutions. We use a blend of private, behavioral, and machine learning systems to identify valuable insights, delivering personalized experiences to users.We are currently seeking a Staff Data Scientist to shape and build out our intelligence layer. This role requires a creative innovator, an excellent communicator, and someone with strong hands-on skills. The ideal candidate is passionate about data, understands its potential, and is dedicated to improving user experiences with valuable insights and tailored recommendations. <h3>Essential Duties/Responsibilities:</h3><ul><li>Data-Driven Culture Empowerment: Develop tools and processes that enable engineers and product teams to efficiently query and analyze data.</li><li>Scale ML Algorithms: Assist data scientists in implementing NLP and ML algorithms at scale, ensuring the architecture is fault-tolerant and highly available.</li><li>Technical Leadership: Contribute to the design of key components in our data platform, balancing business needs with technical solutions.</li><li>Mentorship: Mentor junior engineers and foster a culture of growth, technical excellence, and continuous learning.</li><li>Cross-Functional Collaboration: Work closely with product teams, data scientists, and other engineers to integrate solutions and support our datatech ecosystem.</li><li>Technology Evaluation: Stay informed about emerging technologies and best practices, recommending new tools to enhance data capabilities.</li><li>Communication: Simplify complex technical concepts for non-technical stakeholders to drive understanding and collaboration.</li><li>Additional Duties: Perform other tasks as required to support team goals.</li></ul> <h3>Required Skills/Abilities:</h3><ul><li>Communication: Strong communication skills, with the ability to present complex issues simply.</li><li>Experience: Proven experience with dimensional data modeling, ETL pipeline development, and system architecture.</li><li>Technical Proficiency: Expertise in Python, SQL, and tools like pandas.</li><li>NLP and ML Implementation: Experience implementing NLP and ML algorithms in production environments.</li><li>Problem-Solving: Strong analytical and problem-solving capabilities.</li><li>Leadership: Demonstrated leadership experience with mentoring and guiding teams.</li><li>Tools Proficiency: Familiarity with cloud platforms, data warehousing technologies, and Google Office Suite.</li></ul> <h3>Education and Experience:</h3><ul><li>Education: Bachelor’s degree in Computer Science, Engineering, or a related field (preferred).</li><li>Experience: 6+ years of professional experience in engineering, working with Python, SQL, and related technologies.</li></ul> <h3>Perks &amp; Benefits:</h3><ul><li>Competitive Salary &amp; Equity: $195,000 - $220,000 USD and stock options.</li><li>Remote-First Policy: Work from anywhere in the US.</li><li>Generous PTO: 14 weeks of fully-paid time off and flexible PTO for a variety of life situations.</li><li>Health Benefits: Comprehensive medical, vision, and dental benefits for you and your family.</li><li>401(k) &amp; Roth Plans: Free annual financial advisory check-in.</li><li>Learning &amp; Development: Generous reimbursement policy for learning and development activities.</li><li>Employee Wellness: Monthly wellness stipend, internet stipend, and work-from-home allowance.</li><li>Volunteering PTO: Paid time off for volunteer work.</li><li>Charity Contributions: Matching charity contributions through our Townhall awards.</li></ul> <h3>About Crunchbase’s Culture:</h3>We believe in fostering a diverse, inclusive, and transparent environment. Our mission is to build a team that reflects the diversity of our customers, creating innovative products and providing the best service possible. At Crunchbase, we welcome applicants from all backgrounds and encourage you to apply even if you don’t meet every requirement. Apply now to join Crunchbase and help us shape the future of private company intelligence. We look forward to learning about your passion for data and your vision for our product’s success.

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