Chief Data Scientist & Startup Founder (August 2024) at Antler in Oslo, Norway

Apply for the Chief Data Scientist & Startup Founder (August 2024) position at Antler in Oslo, Norway. Find the best jobs for you effortlessly with InJob.AI, your ultimate solution for job search. Discover top job opportunities and streamline your job search process.

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Job Description

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   This ad is not for an employment, but an opportunity to build a VC-backed startup from the ground up.
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   Who you are:
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  You are a highly skilled technical professional with a proven track record in developing innovative solutions. Your strong programming abilities and experience in building complex algorithms enable you to address critical challenges within the tech industry. You are a proactive individual with a passion for progress, driven to make a significant impact through cutting-edge technological advancements.
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   The Antler Founder Residency
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  Join a dynamic cohort of 200+ highly motivated entrepreneurs for an immersive 12-week program. Visit our website for a detailed breakdown of how we'll support your startup launch.
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   12-Week full-time Immersive Journey: Kicking off August, 2024, in Oslo.
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   Co-Founder Discovery: In the first 10 weeks, collaborate with fellow Founders to find your co-founder(s).
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   Pitch to Invest: Present your team and business idea to the Antler Investment Committee. Secure a net cash investment of EUR 100k for 10% equity.
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   Accelerate Growth: If funded, we work closely with you to make your startup a success!
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   Program Details
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    Start Date:
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   August 19th, 2024
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    Location:
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   Onsite at our Oslo office
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    Compensation:
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   While participants don't receive financial compensation during the program, pre-seed investment is available to jumpstart your venture.
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    Visa Sponsorship:
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   Due to the non-employment nature of the program, visa sponsorship is unavailable.
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   For our August 2024 cohort, we're looking for someone who:
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   Excel in Data Science, Machine Learning, or AI, with a knack for advancing technology.
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   Can unearth insights from intricate data, leading in ML methodologies.
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   Embrace the challenge of merging diverse data for revolutionary models.
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   Are adept at prototyping innovative solutions that pave the way for real-world applications.
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   Navigate product development with strategic foresight and precision.
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   Experienced in the start-up ecosystem
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   Optional: have an idea that solves a problem you&rsquo;re passionate about, but you understand the need for co-pilots who share your vision and values
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   Application Process
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  Our streamlined application process takes only 2-3 weeks:
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   Apply through our website.
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   Participate in an introductory interview.
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   Progress to an in-depth interview with our partners.
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   Receive a potential offer.
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   Meet Our Nordic Success Stories:
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    Treyd:
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   A buy-now-pay-later solution for supplier invoices.
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    Two:
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   A comprehensive B2B payment suite simplifying sales for online and offline businesses.
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    Evyon:
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   A developer of eco-friendly battery energy storage systems.
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   <strong>
    Glint Solar:
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   Software accelerating identification of optimal solar installation sites.
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    PerPlant:
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   AI-powered sensor systems creating a gateway to sustainable agriculture.
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AI Powered Job Insights

Exciting opportunity alert! Antler is seeking a Chief Data Scientist and Startup Founder to embark on a journey of building a VC-backed startup in Oslo, Norway! This is not a traditional employment role but a chance to launch and grow a business from the ground up.

📍 Location: Oslo, Norway
💼 Position: Chief Data Scientist & Startup Founder
⏰ Type: Full-time
📅 Date Posted: July 26, 2024

Role Summary:
- They are looking for a skilled technical professional with expertise in data science, machine learning, or AI.
- The position involves collaborating with fellow entrepreneurs during a 12-week immersive program to develop a startup idea.
- Participants will have the chance to pitch for a cash investment of EUR 100k for 10% equity.

What You'll Do:
- Uncover insights from complex data and lead the development of machine learning methodologies.
- Prototype innovative solutions that address real-world challenges.
- Navigate product development with strategic foresight, ensuring alignment with market needs.
- Work collaboratively in a dynamic environment to find co-founders.

What's Needed:
- Proven programming and algorithm development skills.
- Experience in the startup ecosystem and a passion for leveraging technology.
- Ideally, candidates should have a startup idea but are open to finding partners who share their vision.
- Ability to assist in merging diverse data sources for creating revolutionary models.

Application Process:
- Quick 2-3 week timeline from application to potential offer, including interviews.

This program starts on August 19, 2024, and participants will receive a pre-seed investment, but they should note that financial compensation during the program is not provided.

Top Interview Questions

  • Q: Can you describe a specific project where you utilized machine learning to solve a real-world problem?

    A: In a recent project, I developed a predictive maintenance model for a manufacturing client. Utilizing historical machine data, I applied regression techniques to forecast equipment failures. By leveraging scikit-learn and conducting thorough feature engineering, I achieved an accuracy of over 85%, which helped the client reduce downtime by 30%.

  • Q: How do you approach collaborating with a co-founder who may have a different vision or skill set than yours?

    A: Collaboration with a co-founder requires open communication and mutual respect. I believe in setting clear goals and aligning our visions upfront. Regular brainstorming sessions help in blending our strengths, while I also advocate for feedback loops to ensure that we stay on track and adjust as necessary to align effectively.

  • Q: What methods do you use to derive insights from complex datasets, and how do you prioritize which insights to act upon?

    A: I employ a combination of exploratory data analysis (EDA) and statistical techniques to uncover insights. Once I identify significant findings, I prioritize them based on potential business impact and feasibility. For instance, in a past project, I focused on insights that could be implemented quickly and drove the most user engagement.

  • Q: Describe a situation where you had to prototype a solution rapidly. What approach did you take?

    A: In a hackathon, I once had to rapidly prototype a recommendation engine. I used Python with Flask for quick backend development and leveraged existing datasets. By employing collaborative filtering techniques and focusing on user experience design, I was able to present a working prototype within 48 hours, which impressed the judges.

  • Q: How do you ensure that your machine learning models generalize well to unseen data?

    A: To ensure my models generalize, I emphasize practices such as cross-validation, using validation datasets, and avoiding overfitting through regularization techniques. Additionally, I continually evaluate model performance with real-world data and iterate on feature selection to improve effectiveness and robustness in diverse scenarios.

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Apply for the Chief Data Scientist & Startup Founder (August 2024) position at Antler in Oslo, Norway using https://www.linkedin.com/jobs/view/3982722199

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