Lead Data Scientist - Fintech

About the Role

Our client, a leader in the Fintech sector, is seeking an experienced and visionary Lead Data Scientist to build and manage a cutting-edge data science function from the ground up, operating in a remote-first capacity. This senior role is responsible for leveraging advanced analytics, machine learning, and AI to extract actionable insights from vast datasets, driving innovation in financial product development, risk management, and customer experience. You will lead a team of data scientists, collaborate closely with engineering and product teams, and shape the strategic direction of data-driven initiatives. This is a unique opportunity to make a profound impact on the future of financial technology in a highly collaborative and forward-thinking organization, fully embracing the benefits of a distributed workforce.

Key Responsibilities

• Lead the development and deployment of machine learning models for areas such as fraud detection, credit scoring, and algorithmic trading.
• Design and implement data-driven strategies to enhance product offerings, optimize customer acquisition, and improve operational efficiency.
• Manage and mentor a team of talented data scientists, fostering a culture of innovation, collaboration, and continuous learning.
• Collaborate with software engineering and product management teams to integrate data science solutions into production systems.
• Explore and analyze large, complex datasets to identify trends, patterns, and opportunities for business growth.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and champion their adoption where appropriate.

Requirements

• PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• 7+ years of professional experience in data science, with a proven track record of delivering impactful data-driven solutions, including at least 2 years in a leadership role.
• Deep expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent communication, leadership, and stakeholder management skills, essential for a remote team.

Benefits

• Highly competitive salary and equity options.
• Fully remote work environment with flexible working hours.
• Generous annual leave and paid time off.
• Comprehensive health, dental, and vision insurance coverage.
• Budget for professional development, conferences, and online courses.