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Junior Data Scientist

About Satispay
At Satispay, we're not just reimagining payments; we're pioneering a movement toward simplicity and accessibility. Picture yourself at the forefront of innovation, leading the way in revolutionizing payments - and beyond! - across Europe, alongside a vibrant community of like-minded individuals driven by a shared vision: simplifying payments to improve everyone’s life.

Are you ready to be part of something bigger? Satispay is the place for you! Come be part of our dynamic team and help us shape the future of payments in Europe.

🚀 Join us as Junior Data Scientist and let's make magic happen together.

Role Overview
As a Junior Data Scientist, you will be responsible for automating marketing campaigns, analyzing large and complex datasets, and conceiving predictive models and AI algorithms that will be used to optimize the marketing and customer acquisition strategies in Satispay.

Your mission:

  • Design and maintain automated solutions. Develop and manage systems to optimize marketing channels, ensuring efficiency and effectiveness across campaigns.  

  • Leverage growth hacking (e.g., generative AI). Use innovative techniques to rapidly test and implement strategies that drive user acquisition, retention, and revenue growth.  

  • Lead innovative marketing channels (e.g., Member-get-member). Use AI to enhance marketing initiatives.

  • Identify machine learning opportunities. Find ways to incorporate machine learning into our processes to enhance offerings and improve outcomes.  

  • Analyze complex data sets. Uncover hidden patterns and insights that inform business strategies and decision-making.  

  • Design, develop, and deploy machine learning models. Solve business challenges, forecast customer behavior, and optimize marketing resource allocation to support growth.  

  • Design and run experiments. Test hypotheses and evaluate the impact of new features to inform product development and improvements.  

  • Collaborate with cross-functional teams. Build data infrastructure and extract insights to drive product and design decisions.

  • Stay current with industry trends. Continuously update knowledge of the latest developments in software development, machine learning, and data science to ensure best practices are followed.

Your ideal profile:

  • Proven experience. You have 1-2+ years of working experience in Data Science, with a focus on machine learning (a strong background in statistical modeling is a plus).

  • Expertise in programming. You have strong programming skills in Python, with expertise in machine learning libraries such as Scikit-learn, PyTorch, and TensorFlow, as well as proficiency in causal inference methods to drive data-driven insights.

  • Data engineering pipeline design. You can contribute to building and monitoring pipelines for machine learning applications.

  • Problem-solving. You are skilled in addressing loosely defined problems, deriving meaningful answers, and providing actionable insights.

  • Detail-oriented and communicative. You have a maniacal attention to detail and enjoy executing complex projects. You can communicate in a structured and convincing manner, adapting your style to build trust positively and professionally with various stakeholders.

  • Passion for fintech or startup environments. You are enthusiastic about working in dynamic, innovative settings.

  • Language proficiency. You are fluent in Italian and English.

Don't let a checklist hold you back - at Satispay, we thrive on diverse perspectives and unique strengths. Your individuality could be the missing piece to our puzzle! Even if you don't meet every skill listed above, we encourage you to apply if you're passionate about the role and believe you can contribute to our team's success.

Your Perks as a Satisperson
🙆🏻 Join an international team to grow with
🏡 Hybrid working policy
🍽️ Fuel your day with our meal vouchers
🌐 Preply language platform access to expand your language skills
⭐ Benefit from our 1.2k company welfare budget
🚀 Own part of Satispay’s success with our Stock Option Plan
👩🏻‍💻 Gear up with our tech equipment
🥳 Join us in the fun with team-building events, parties, trips, and more!

Our selection process is tailored to each role and includes at least a call with our Talent Acquisition Team, a technical evaluation, and a final in-person meeting. Your recruiter will share more insights during your first meeting with us!

Equal Opportunity Employer
At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, color, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!

Learn More About Us
Curious about our core values? Explore them here.

#LI-Hybrid

#LI-GA1

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Average salary estimate

$50000 / YEARLY (est.)
min
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$40000K
$60000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Junior Data Scientist, Satispay

Satispay is on the lookout for a passionate Junior Data Scientist to join our innovative team in Milan. If you’re excited about transforming the payment landscape and eager to harness the power of data to drive exceptional marketing strategies, then you might just be the perfect fit! In this role, you’ll be diving deep into analyzing complex datasets, ensuring that our marketing campaigns run smoothly, and deploying AI models that optimize customer acquisition. We believe in the magic that happens when data meets creativity, and your insights will play a vital role in shaping the future of payments in Europe. You’ll collaborate closely with cross-functional teams and stay updated on the hottest trends in data science, all while enjoying a hybrid working environment that values work-life balance. You’ll be able to explore and implement cutting-edge machine learning techniques to uncover hidden insights that steer our business decisions. And with perks like meal vouchers and a company welfare budget, we’re committed to supporting your growth and well-being. If you have 1-2 years of experience in data science, proficiency in Python, and a passion for fintech, Satispay could be the next big step in your career. Let’s make financial transactions easy and accessible together!

Frequently Asked Questions (FAQs) for Junior Data Scientist Role at Satispay
What are the main responsibilities of a Junior Data Scientist at Satispay?

As a Junior Data Scientist at Satispay, you will automate marketing campaigns, analyze complex datasets, and develop predictive models to enhance our marketing strategies. Your role will also involve designing and maintaining automated solutions, identifying machine learning opportunities, and collaborating with cross-functional teams.

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What qualifications are needed for the Junior Data Scientist position at Satispay?

To succeed as a Junior Data Scientist at Satispay, you should have 1-2 years of experience in data science with strong programming skills in Python. Familiarity with machine learning libraries like Scikit-learn, PyTorch, and TensorFlow, as well as proficiency in causal inference methods are key qualifications for the role.

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How does the Junior Data Scientist role at Satispay contribute to marketing strategies?

In the Junior Data Scientist role at Satispay, you will leverage data-driven insights to optimize our marketing channels. By analyzing data and running experiments, you’ll uncover hidden patterns that inform product development, enhance user retention, and drive revenue growth through strategic marketing initiatives.

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What programming skills are essential for a Junior Data Scientist at Satispay?

A Junior Data Scientist at Satispay should be proficient in programming, particularly in Python. Experience with machine learning libraries such as Scikit-learn, PyTorch, and TensorFlow is crucial for developing models and conducting data analysis for marketing optimization.

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What perks does Satispay offer to Junior Data Scientists?

Satispay offers an excellent range of perks for Junior Data Scientists, including a hybrid working policy, meal vouchers, a company welfare budget, and access to a language learning platform. Additionally, you will have the opportunity to partake in team-building events and enjoy tech equipment support to help you thrive.

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Common Interview Questions for Junior Data Scientist
Can you explain your experience with machine learning in previous projects?

In your response, emphasize specific projects where you implemented machine learning models and discuss the outcomes achieved. Highlight your familiarity with libraries like Scikit-learn or TensorFlow and how these tools contributed to the project's success.

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How do you handle analyzing large datasets?

Share your approach to managing large datasets, including any tools or techniques you use for data cleaning, exploration, and analysis. Discuss your understanding of identifying patterns and extracting insights that can influence decision-making.

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What is your approach to collaborating with cross-functional teams?

Explain how you effectively communicate complex data findings to non-technical stakeholders, emphasizing the importance of a collaborative approach. Share examples of how your contributions have positively impacted team projects.

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Can you describe a time when you found an unexpected insight from data?

Provide a concrete example of when your analysis led to an unexpected finding and how it influenced marketing strategies or project outcomes. Focus on your analytical process and the impact of the insight.

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What programming languages are you experienced in and how do they apply to data science?

Discuss your proficiency in Python and possibly other languages, detailing how each one helps you solve data science problems, implement machine learning models, and build analytical solutions.

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How do you keep current with trends in the data science field?

Talk about the resources you use to stay informed, such as attending conferences, reading industry blogs, or participating in online courses. Highlight your enthusiasm for continual learning and how it benefits your work.

Join Rise to see the full answer
What do you see as the biggest challenge in data science and how do you approach it?

Discuss the challenges you’ve identified, such as dealing with data quality or making predictions. Share your strategies for overcoming these obstacles, emphasizing a proactive and solution-oriented mindset.

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Describe your experience with A/B testing and experimentation.

Explain the methodologies you’ve used for designing and running experiments, detailing how you measure success and draw conclusions. Use a specific example to illustrate your experience.

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What interests you most about the fintech industry, especially at Satispay?

Share your motivations for pursuing a career in fintech and discuss what you find compelling about working at Satispay, including its vision and values. Relate your passion to the company’s mission to simplify payments.

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How would you prioritize tasks in a fast-paced work environment?

Discuss your time management strategies and how you assess task urgency and impact. Provide examples of how you’ve successfully managed tight deadlines while maintaining quality in your work.

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Simplify payments to improve everyone’s life

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Full-time, hybrid
DATE POSTED
December 13, 2024

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