Lead Data Scientist

Alt/Finance is seeking a highly skilled and motivated Lead Data Scientist to join our dynamic team. In this pivotal role, you will be at the forefront of driving data-driven decision-making across various business functions. As the Lead Data Scientist, you will be responsible for developing innovative models and algorithms that harness the power of data to inform strategic initiatives within the organization. You will collaborate with cross-functional teams, including product development, marketing, and operations, to identify key business challenges and create data solutions that enhance efficiency, reduce costs, and improve customer satisfaction. Your expertise in statistical analysis, machine learning, and data visualization will be essential as you lead projects that require rigorous data interpretation and actionable insights. You will also be responsible for mentoring and guiding a team of data scientists and analysts, fostering a collaborative environment that encourages knowledge sharing and professional growth. Alt/Finance values creativity and innovation, and as a key member of our team, you will have the opportunity to shape the future of our data strategy while having a significant impact on our company's success and growth trajectory.

• Lead the end-to-end data science process, from problem definition to model deployment.
• Develop predictive models and machine learning algorithms to solve complex business problems.
• Collaborate with cross-functional teams to understand business requirements and identify data-driven opportunities.
• Mentor and guide a team of data scientists and analysts in best practices and methodologies.
• Design and implement data visualization tools to communicate insights effectively to stakeholders.
• Conduct thorough data analysis and interpretation to support strategic decision-making.
• Continuously evaluate and enhance existing models and processes to improve accuracy and efficiency.

• Master's or Ph.D. degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience (5+ years) in data science, analytics, or related roles, preferably in a financial context.
• Strong proficiency in programming languages such as Python or R, and experience with SQL for data manipulation.
• In-depth knowledge of statistical modeling techniques and machine learning algorithms.
• Experience with data visualization tools (e.g., Tableau, Power BI) and libraries (e.g., Matplotlib, Seaborn).
• Exceptional critical thinking and problem-solving skills, with a data-driven mindset.
• Excellent communication skills, enabling effective collaboration across diverse teams and presentation of complex technical concepts to non-technical stakeholders.