Sr. Data Scientist

Role Overview: As a Senior Data Scientist, you will play a crucial role in leading data-driven projects and shaping the data science strategy of the company. Your responsibilities will include developing advanced algorithms, managing large datasets, and mentoring junior team members. Key Responsibilities: - Design and implement complex statistical models and machine learning algorithms. - Lead data science projects from inception to deployment, ensuring high-quality deliverables. - Provide technical mentorship and guidance to junior data scientists. - Collaborate with business stakeholders to define project objectives and offer actionable insights. - Explore and implement new technologies and best practices in the field of data science. - Present findings and recommend data-driven strategies for business growth to executive leadership. Qualifications Required: - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Minimum of 5 years of experience in data science, with a successful track record in leading projects. - Deep understanding of advanced machine learning techniques, including deep learning and ensemble methods. - Experience in projects involving LLMs and GenAI models. - Proficiency in programming languages such as Python or R. - Familiarity with big data technologies (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP). - Advanced data visualization skills and the ability to present complex data clearly. - Strong problem-solving and analytical skills with a strategic mindset. - Excellent communication and leadership skills to influence stakeholders at all levels.,