Lead Data Scientist
September 17
Description
• Deliver impactful projects leveraging ML to optimize business. • Develop data models to predict, optimize, and solve business problems. • Analyze complex, high-volume data from various sources. • Design and implement analytical models for better business outcomes. • Collaborate with teams to build scalable data-driven solutions. • Maintain understanding of industry trends for innovation. • Ensure data quality and accuracy in processing new sources.
Requirements
• 5/10+ years of experience in Data Scientist, preferably in fintech/B2B SaaS. • Ideally a PhD in Applied Mathematics, Statistics, Computer Science, or Machine Learning; at least a Master's degree required. • Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). • Expertise in Python, SQL, and data mining/statistical analysis tools. • Ability to manage projects and engage with stakeholders. • Commitment to team spirit, transparency, and trustworthiness. • Autonomy and a proactive approach are required. • Strong problem-solving skills and business acumen.
Benefits
• Hybrid remote policy: Work from home for 2 days/week. • Best health insurance: Alan 🦭 • Partnerships with Classpass & Gymlib for fitness. • Respect for lunch breaks with Swile card for meals. • Bi-annual retreats to reconnect and relax. • Commitment to diversity and inclusion.
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