Analytics

Data Scientist

Location

Milan (IT)

Employment Type

Analytics

At Space Mushrooms, our mission is to become a driving force in digital products. In just a few years, we’ve built a diversified portfolio of apps and software that reach millions of people every month. And we know the best is still ahead. We aim to keep growing with ambition, building a team where everyone can develop to their full potential and create lasting value for our users and our people.

Our approach is simple: turning potential into reality. We achieve this through sharp analysis, creativity, and relentless attention to the quality of what we build. With every milestone, we strengthen our foundation and raise the bar higher.

For ambitious, curious, and driven individuals, Space Mushrooms is a place to learn from real challenges, contribute to bold projects, and accelerate personal and professional growth in a dynamic, fast-scaling environment. We’re building something big—and those who join us today will help shape its future.

Some of your key responsibilities
  • Machine learning models: Utilize advanced machine learning tools to develop models that predict core KPIs, supporting more informed decision-making across business domains.
  • Infrastructure development: Develop and enhance backend systems to automate processes such as data management, analysis, and reporting.
  • Automation and attribution: Automate data processing tasks across multiple platforms and design systems to attribute data effectively to different sources and channels.
  • Collaborative growth: Work closely with cross-functional teams—including product, engineering, and marketing—to identify opportunities for leveraging data to drive growth.
  • Continuous improvement: Stay updated on industry trends and technological advancements to continuously improve analytics practices and outcomes.
Who you are
  • Curious and motivated, with a genuine interest in data science and its applications.
  • Familiar with Python, SQL, or similar tools for data analysis and modeling.
  • Comfortable working with datasets, identifying patterns, and interpreting results.
  • Able to approach problems methodically and pay attention to detail.
  • Eager to learn from feedback and improve continuously.
  • Capable of collaborating effectively with colleagues from different backgrounds.
What we offer
  • The opportunity to actively contribute to the growth and structuring of a startup from [almost] zero.
  • Hands-on experience in a dynamic, fast-paced environment.
  • Mentorship and guidance from talented and passionate colleagues.
  • First-class devices and tools to support your work.
  • Flexible schedule, with a goal-oriented culture and focus on growth.
The selection process

We’ll start with a CV screening, to check how your experience and skills match the role.

Next, there will be a behavioral interview, where we’ll get to know your working style and past experiences.

You’ll then be asked to complete a technical exercise.

Finally, there will be a business case interview, designed to evaluate your analytical and reasoning abilities.

What to expect

We’re building an ambitious company in a fast-moving industry, and that means the bar is high. Our environment is demanding: we aim big, we move quickly, and we hold ourselves—and each other—to strong standards. To thrive here, you’ll need motivation, curiosity, and the drive to keep pushing your craft forward.

If this sounds like the challenge you’re looking for, send us your application—we’re excited to get to know you.

We are committed to fostering an inclusive workplace and providing equal employment opportunities to all qualified applicants, valuing diversity in all its forms.