At a Glance
- Tasks: Join us as a Customer Segment Data Scientist to shape data-driven insights and predictive models.
- Company: Crunchbase connects millions globally, democratizing access to opportunities and fostering innovation.
- Benefits: Enjoy remote work, generous PTO, competitive pay, wellness benefits, and learning reimbursements.
- Why this job: Be part of a dynamic team that values creativity, collaboration, and impactful data solutions.
- Qualifications: 6+ years in data science or machine learning; strong Python skills and excellent communication are essential.
- Other info: Equity options available; we encourage diverse applicants to apply!
The predicted salary is between 120000 - 140000 £ per year.
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.
We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.
Crunchbase has a remote-first approach, and is open to hiring in residents of these states:
California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, and Washington.
Our inclusive remote-first culture, generous PTO policies, competitive pay, and employee wellness benefits set us apart!
Engineering at Crunchbase
The Crunchbase engineering team is a dynamic, fast-paced team that is committed to quickly delivering features, evaluating their performance, and iterating towards the product vision shared by the company.
We are organized in vertical teams that include cross-functional engineers as well as functional guilds aimed at working tightly with the product team to deliver high standards code while iterating quickly on features.
We value open and honest communication and strive to create an environment where opinions and views can be shared and considered in an effort to reach the best decision.
Signals Team at Crunchbase
The Crunchbase Signals Team thrives to provide users with insightful information throughout their experience on the Crunchbase platform. By combining Crunchbase, private and behavioral data with machine learning systems, we learn to understand the underlying data needs to best assist their day-to-day work, we then identify and highlight relevant insights and predictions, eventually building personalized experiences that are uniquely valuable to our users.
The team is composed of Data Scientists, Machine Learning Engineers, and Data Engineers working together to deliver models and services into production. We are hiring a hands-on Staff Data Scientist to help shape and build out the intelligence layer for Crunchbase signals products. We are looking to go deeper on the data we have, generating and presenting insights and predictions that help our users better understand our data and offer observations and recommendations specifically tailored to their use-case. The ideal candidate is a creative innovator and an outstanding communicator with strong hands-on skills. They are not only curious about data and what it can teach us, but also care deeply about our users and how to drive an experience that helps them engage with and better utilize our data.
What You Will Do
- Work on all aspects of the data science feature delivery cycle, from ideating, advocating future data needs, to assisting in model productionisation.
- Develop statistical observations and predictive or prescriptive machine learning models according to our business needs, data patterns, and performance requirements.
- Bring in a fresh perspective to the problem space and test out ideas quickly.
- Own the PoC execution plan for multiple projects in parallel and carry out rapid experiments autonomously with the team.
- Manage stakeholders for their focus area efficiently – gather changing product requirements, define problem spaces, bring clarity to roadmaps and milestones, and communicate progress and results to a non-technical audience.
- Help drive the vision of Crunchbase predictive engine and turn our vision into product features.
- Contribute to define and enhance our machine learning experimentation capabilities.
- Help establish processes and best practices to help grow our data science guild.
Who You Are
- You have 6+ years of data science, machine learning, or advanced quantitative analytics industry experience or equivalent in high growth companies.
- You are an excellent communicator and able to explain complex issues to stakeholders in simple terms.
- You like to understand the product and deliver meaningful features that drive the business forward.
- You like to be hands-on and highly efficient in Python.
- You are familiar with an array of analytics and data tools (e.g., SQL, pandas, etc.).
- You iterate fast and love trying different approaches rapidly.
- You have hands-on experience on shipping machine learning-based projects in production and delivering significant impact to customers.
- You care about agile software, cross-team collaborations, and data-driven development and evaluation.
- You are a big believer in Build-Measure-Learn methodology.
- Prior experience with building predictive analytics products is a plus.
- Industry experience with NLP is a plus.
You may also be entitled to receive equity and benefits. Salary Range: $190,000—$210,000 USD.
What Crunchbase Offers:
- Competitive salary and equity.
- Remote-first policy.
- Generous reimbursement policy for learning and development activities.
- Monthly fitness/mental health stipend.
- 14 weeks of fully-paid time off for new parents.
- Flexible Paid Time Off (PTO).
- Incredible medical, vision, and dental benefits for employees and their families.
- 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.
- Annual carbon offset.
- Matching charity contributions for our Townhall awards.
- A team of creative, transparent entrepreneurs driven to accomplish our mission.
At Crunchbase, we value team members who are passionate and enthusiastic about what we’re building here. We believe there is no “perfect” candidate and want to encourage applying even if all the requirements listed aren’t met. If you’re passionate about Crunchbase and looking to learn and grow, then we look forward to reviewing your application! Crunchbase does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, veteran status, military obligations, or marital status. We will consider for employment qualified applicants with arrest and conviction records. Every day our team is honored to work with entrepreneurs and innovators from every corner of the globe, and we aim to build a team that reflects the diversity of our customers. Each individual at Crunchbase brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides a better service to its customers, and helps us all grow and learn as individuals.
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Customer Segment Data Scientist employer: Trimble
Contact Detail:
Trimble Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Segment Data Scientist
✨Tip Number 1
Familiarize yourself with Crunchbase's products and services. Understanding how they leverage data to provide insights will help you articulate how your skills can contribute to their mission during the interview.
✨Tip Number 2
Showcase your hands-on experience with machine learning projects. Be prepared to discuss specific examples where you've successfully implemented models in production and the impact they had on users or business outcomes.
✨Tip Number 3
Highlight your communication skills by preparing to explain complex data science concepts in simple terms. This is crucial for managing stakeholders and ensuring everyone understands the value of your work.
✨Tip Number 4
Demonstrate your ability to iterate quickly and experiment with different approaches. Crunchbase values innovation, so sharing examples of how you've tested and refined your ideas will resonate well with the team.
We think you need these skills to ace Customer Segment Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Customer Segment Data Scientist position. Understand the key responsibilities and required skills, especially around data science, machine learning, and communication.
Tailor Your Resume: Customize your resume to highlight relevant experience in data science and machine learning. Emphasize your hands-on skills in Python and any experience with predictive analytics or NLP that aligns with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and how it can drive user engagement. Mention specific projects where you have successfully delivered machine learning solutions and how they impacted users positively.
Showcase Communication Skills: In your application, demonstrate your ability to communicate complex data concepts in simple terms. Provide examples of how you've effectively managed stakeholders and communicated progress on projects to non-technical audiences.
How to prepare for a job interview at Trimble
✨Understand the Product and Its Users
Before your interview, take the time to familiarize yourself with Crunchbase's products and the users they serve. Be prepared to discuss how your data science skills can enhance user experience and drive business growth.
✨Showcase Your Communication Skills
As an excellent communicator, you should be ready to explain complex data science concepts in simple terms. Practice articulating your past projects and their impact on stakeholders, emphasizing clarity and understanding.
✨Demonstrate Hands-On Experience
Highlight your hands-on experience with Python and machine learning projects. Be ready to discuss specific examples where you've successfully shipped models into production and the results they achieved for users.
✨Emphasize Agile Methodologies
Crunchbase values agile software development and cross-team collaboration. Be prepared to discuss your experience with agile methodologies, including how you've iterated quickly on projects and collaborated with diverse teams.