Senior Data Scientist
Listed on 2025-12-14
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IT/Tech
Data Analyst, Machine Learning/ ML Engineer, AI Engineer, Data Scientist
Join to apply for the Senior Data Scientist role at Crunchbase
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Crunchbase is a predictive solution that provides intelligence on private companies, powered by the unique combination of live private company data, AI, and market activity from over 80 million users. We predict private market movements that matter to help investors, deal makers, and analysts make the right decisions.
We are committed to fostering a positive, diverse, and inclusive culture by hiring for potential and embracing individuals with diverse perspectives, backgrounds, experiences, and skill sets. We value transparency and openness, believing that an inclusive environment strengthens our teams and enhances our products.
Crunchbase has a remote‑first approach and is open to hiring residents of these states:
California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, Washington, and Maine.
The Role
As a Senior Data Scientist at Crunchbase, you will play a pivotal role in transforming our business vision into tangible features and actionable insights through the power of data. Your contributions will significantly influence the user experience, restructuring how our users engage with and derive value from our products. You'll work at the intersection of data science and product development, turning raw data into meaningful insights that drive business success.
WhatYou’ll Do
- 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
- Collaborate cross‑functionally with Product, Engineering, and GTM teams to prioritize AI initiatives
- Actively engage in AI experimentation to drive innovation and efficiency
- Communicate complex findings and insights in a clear and understandable manner to both technical and non‑technical audiences
- 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
- Ideally, you have experience with recommendation systems and/or time series analysis
At Crunchbase, we’re building a culture where talented people can grow, innovate, and make an impact. We invest in our team so everyone has the support, tools, and trust to do meaningful work and thrive — personally and professionally. Here’s what you can expect:
- Competitive compensation and equity — rewarding you for your contributions and ownership mindset
- Remote‑first flexibility — work primarily from home within our list of approved states, with opportunities for in‑person collaboration
- Comprehensive health benefits for you and your family, including medical, dental, and vision coverage (PPO, HDHP, and HMO options)
- Continuous learning support through generous reimbursement for professional development and skills growth
- 401(k) and Roth plans with an annual financial adviser check‑in to help you plan…
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