Senior Data Scientist

Suited is seeking a highly skilled Senior Data Scientist to join our dynamic team. In this vital role, you will leverage your expertise to drive data-driven decision-making across various business units. As a Senior Data Scientist, you will work closely with cross-functional teams including product management, engineering, and marketing to develop innovative analytical solutions that optimize operations and enhance customer experiences. Your responsibilities will encompass developing advanced predictive models, conducting in-depth statistical analysis, and transforming complex data sets into actionable insights. You will play a crucial role in mentoring junior data scientists and collaborating with stakeholders to identify crucial business opportunities. Additionally, you will help establish best practices for data science methodologies within the organization. This position offers the chance to impact the company's growth significantly while fostering a culture of analytical thinking and innovation. If you thrive in a fast-paced environment, are passionate about deriving meaningful insights from data, and wish to contribute to ambitious projects aiming for excellence, we would love to hear from you. Join us at Suited and help us shape our data-driven future.

• Develop and implement advanced statistical models to solve business problems
• Collaborate with cross-functional teams to gather requirements and deliver insights
• Mentor and guide junior data scientists in their professional development
• Analyze large, complex data sets to find actionable insights
• Communicate findings to stakeholders through data visualization tools and presentations
• Design and conduct experiments to test hypotheses and validate data-driven solutions
• Monitor and maintain the performance of data models over time

• Master's degree or Ph.D. in Data Science, Statistics, Mathematics, or related field
• Minimum of 5 years of experience in data science or advanced analytics
• Proficiency in programming languages such as Python or R
• Experience with machine learning frameworks and libraries (such as TensorFlow, Scikit-learn)
• Strong knowledge of statistical methods and data analysis techniques
• Ability to translate complex data findings into clear, actionable recommendations
• Excellent communication skills with the ability to present complex information to non-technical stakeholders