Qualifications

• 3+ years as a Data Scientist or in a similar role, preferably in tech or AI-focused companies.
• Proficient in SQL for large dataset querying; expertise in Python and R for data manipulation and visualization.
• Strong data analysis background, including statistical modeling and data science techniques.
• Familiar with B2B go-to-market business models.
• Excellent at translating complex data findings into actionable insights for non-technical audiences.
• Demonstrated ability to work effectively across teams and manage multiple projects simultaneously.
• Solid problem-solving skills, thriving in a high-paced, dynamic start-up atmosphere.

Responsibilities

• Collaborate with Product and Go-to-Market teams to translate business objectives into data-driven insights.
• Develop and implement predictive models and analytical methodologies to assess product usage and customer behavior.
• Analyze extensive datasets to create actionable insights for engagement and monetization strategies.
• Design and execute experiments to evaluate product experiences and marketing campaigns.
• Partner with cross-functional teams to integrate insights into products and services for ongoing improvement.
• Present findings to stakeholders, including executives, to inform strategic company decisions.
• Work alongside Data Engineers to ensure the quality and reliability of data for analysis.
• Stay updated on industry trends and best practices in data science and AI.

Benefits

• Opportunities for professional growth and development.
• Dynamic and innovative start-up environment.
• Collaboration with talented teams across the organization.
• Focus on improving customer experiences through data-driven insights.