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.