Analytics

Data Scientist

Location

Milan (IT)

Employment Type

Analytics

As Data Scientist at Space Mushroom, you will:
  • Machine Learning Models: Utilize advanced machine learning tools to develop models that predict core KPIs, facilitating more informed decision-making across various business domains.
  • Infrastructure Development: Develop and enhance backend infrastructure to automate various processes, including data management, analysis, and reporting
  • Automation and Attribution: Automate data processing tasks across multiple platforms. Develop systems for effectively attributing data 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 business growth.
  • Continuous Improvement: Stay abreast of industry trends and technological advancements to continuously improve marketing analytics practices and outcomes.
Who you are:
  • Educational Background: A degree in Engineering, Economics/Data Science, Mathematics, Physics, or a related scientific discipline.
  • Advanced Python Skills: Proficient in Python and data engineering, with a strong understanding of data manipulation, analysis, and visualization techniques.
  • Machine Learning Expertise: Advanced knowledge of machine learning tools and the ability to apply these to drive business decisions.
  • Analytical Thinking: Exceptional analytical and problem-solving skills, with the ability to interpret complex data and turn insights into actionable strategies.
  • Communication Skills: Excellent communication and coordination abilities to effectively collaborate with different teams and stakeholders.
  • Innovation: A proactive and innovative mindset, with a focus on continuous improvement and the adoption of new technologies to enhance marketing analytics capabilities.
What we offer:
  • You will witness the birth and structuring of a startup from [almost] zero
  • Hands-on experience in a dynamic, fast-paced company.
  • Mentorship from experienced product managers and executives.
  • Flexible working schedule, with a focus on learning and growth.