Senior Data Scientist

Summary

Join Crunchbase as a Senior Data Scientist and play a pivotal role in transforming our business vision into tangible features and actionable insights. You will enhance and optimize the Crunchbase insights engine, collaborate with the product team, and engage in all aspects of the feature delivery cycle. Your work will involve developing and implementing statistical and machine learning models, staying current with advancements in data science, and communicating complex findings to both technical and non-technical audiences. You will work closely with internal partners and various stakeholders to gather requirements and provide data-driven solutions. This role offers a remote-first approach with competitive pay and employee wellness benefits.

Requirements

• 4+ years of experience in data science, with a focus on developing and deploying machine learning models
• Excellent communication skills, capable of simplifying complex issues for effective collaboration
• Proven ability to understand products and deliver impactful features to drive business success
• Hands-on experience and expertise in Python coding
• Familiarity with a range of analytics and big data tools (e.g., R, SQL, etc.)
• Passion for identifying patterns in data, showcasing strong analytical skills
• Proficient with Google Office Suite or related software

Responsibilities

• Utilize your expertise to enhance and optimize the Crunchbase insights engine, turning raw data into meaningful and actionable insights
• Collaborate closely with the product team to align data science efforts with business objectives and user needs
• Engage in all aspects of the feature delivery cycle, from ideation to production, ensuring seamless integration of data-driven features into our products
• Work closely with internal partners to gather and refine requirements for data-driven features
• Develop and implement statistical and machine learning models that address user queries and business questions, such as predicting potential investors in a given company
• Stay current with advancements in data science and machine learning to continuously improve model accuracy and relevance
• Collaborate with product managers, engineers, and other stakeholders to understand business problems and provide data-driven solutions
• Communicate complex findings and insights in a clear and understandable manner to both technical and non-technical audiences

Preferred Qualifications

Ideally, you have experience with recommendation systems and/or time series analysis

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)
• 22 Holidays in 2025
• 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