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- Tasks: Build and run your own startup in Data Science with expert support.
- Company: Join a team of successful entrepreneurs with proven track records in scaling businesses.
- Benefits: Enjoy a salary while you build, plus access to funding and a vast professional network.
- Why this job: Transform your entrepreneurial dreams into reality with coaching from unicorn founders and top-tier resources.
- Qualifications: Must be based in Europe or the Americas, with strong communication skills and a passion for entrepreneurship.
- Other info: Opportunity to secure multi-million euro funding and join a community of elite founders.
The predicted salary is between 43200 - 72000 £ per year.
We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies.
We offer:
- A salary while you build your startup as you will directly be employed by us.
- Alternatively, you can opt for up to €500k in funding.
- Community: Access to the top 0.1% of founders, peers and investors.
- Personal Development: Weekly coaching with unicorn-founders.
- Funding: Support in securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch).
- Talent: Hiring support through our network (over 50,000 professionals).
- Distribution: Support in reaching product-market-fit and building up a sales force/marketing machine.
Highlighting just one of many success stories, one of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment.
Tasks:
- You will build, and run your own startup in fields such as Data Science.
- You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management.
- You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs.
- You will receive coaching in making your startup “investible”, i.e. ready to raise millions in funding.
- You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing empire respectively.
Requirements:
- Based in Europe or the Americas or open to relocate.
- Willingness to take full responsibility for your own startup and scale it to €100M+ in revenues.
- Excellent communication skills and English language.
Join us and build a €1B+ company with us!
Data Science Co-Founder / CPTO (100 % remote) (m/f/d) employer: EWOR GmbH
Contact Detail:
EWOR GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Co-Founder / CPTO (100 % remote) (m/f/d)
✨Tip Number 1
Network with other entrepreneurs and founders in the data science field. Attend relevant meetups, webinars, or online forums to connect with like-minded individuals who can provide insights and support as you embark on your startup journey.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data science. This will not only enhance your knowledge but also demonstrate your commitment and passion for the field during discussions with potential partners and investors.
✨Tip Number 3
Prepare a clear vision for your startup idea. Articulate how it addresses a specific problem in the market and outline your unique value proposition. This clarity will be crucial when engaging with mentors and investors.
✨Tip Number 4
Leverage social media platforms to showcase your expertise and thought leadership in data science. Share insights, articles, and engage in discussions to build your personal brand and attract attention from potential collaborators and investors.
We think you need these skills to ace Data Science Co-Founder / CPTO (100 % remote) (m/f/d)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of a Data Science Co-Founder / CPTO. Familiarise yourself with the startup environment and the specific challenges that come with building a company from the ground up.
Tailor Your CV: Craft your CV to highlight relevant experience in entrepreneurship, data science, and leadership. Emphasise any previous startup experience or projects that demonstrate your ability to scale a business and manage teams effectively.
Write a Compelling Cover Letter: In your cover letter, express your passion for entrepreneurship and your vision for building a successful startup. Mention how your skills align with the company's goals and how you can contribute to their mission of creating €1B+ companies.
Showcase Your Network: Highlight any connections you have within the startup ecosystem, especially if you have access to potential investors or talent. This can demonstrate your ability to leverage resources and build a strong foundation for your startup.
How to prepare for a job interview at EWOR GmbH
✨Show Your Entrepreneurial Spirit
Demonstrate your passion for entrepreneurship by sharing your previous experiences, ideas, and how you envision scaling a startup. Be prepared to discuss your vision for a potential business and how you would approach challenges.
✨Highlight Your Data Science Expertise
Since the role focuses on Data Science, make sure to showcase your technical skills and any relevant projects you've worked on. Discuss how you can leverage data to drive business decisions and improve product-market fit.
✨Prepare for Coaching Discussions
Expect to engage in conversations about personal development and coaching. Think about areas where you seek guidance and how you plan to utilise the support from experienced founders to grow your startup.
✨Communicate Clearly and Confidently
Excellent communication skills are essential for this role. Practice articulating your thoughts clearly and confidently, especially when discussing complex ideas or strategies related to your startup vision.
