Data Scientist

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Key Responsibilities Your role and responsibilities Advanced AI Solutions Development: Design and deploy innovative AI solutions to address complex business issues. Utilize a deep understanding of neural networks, natural language processing (NLP), and predictive analytics to significantly enhance business intelligence and support data-driven decision making. Leadership in Technology Integration: Drive initiatives that integrate state-of-the-art technologies into varied business processes to boost operational efficiency and enhance the customer experience. Ensure these technologies align with strategic business goals and deliver tangible, measurable improvements. Strategic Project Management: Utilize a proven track record in leading diverse teams and managing complex, multi-disciplinary projects. Apply extensive knowledge gained from senior data science roles to effectively manage and inspire cross-functional teams. Innovative Research and Development: Lead pioneering research in artificial intelligence, drawing on expertise from a Ph.D. in Data Science. Continuously push the boundaries of technology to maintain leadership in the field and contribute to the advancement of industry knowledge. Stakeholder Engagement and Solution Delivery: Effectively communicate and engage with stakeholders at all levels, from technical teams to executive leadership. Translate complex technical details into clear, strategic insights during customer engagements and high-level presentations. Mentorship and Team Development: Mentor and develop team members, enhancing their skills in advanced data science and AI technologies. Foster a culture of learning and innovation, leveraging extensive experience in leadership and project management to build a strong, capable team. Preferred Education Doctorate Degree Required Technical And Professional Expertise Extensive experience in AI, machine learning, and cloud architectures. Proven leadership in managing large-scale projects and teams. Strong technical proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks. Deep expertise in cloud computing solutions across platforms like IBM, AWS, and Azure. Solid experience in designing, building, and optimizing machine learning models across various applications (e.g., classification, regression, clustering, and recommendation systems). Familiarity with AI techniques, including supervised and unsupervised learning, natural language processing, generative AI, or computer vision. Experience in integrating AI models into production systems and optimizing for performance and scalability. Knowledge of data preprocessing, feature engineering, and model evaluation techniques Familiarity with cloud platforms and version control (Git) Preferred Technical And Professional Experience Doctorate in Data Science or related field, with a focus on Artificial Intelligence. Experience in leading AI initiatives. Demonstrated ability in driving research and development in AI. Exceptional communication and team management skills. Show more Show less