Senior Data Scientist, Caden

• Master's or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field
• Proven experience (3+ years) in designing, developing, and deploying machine learning models in a real-world setting
• Strong programming skills in languages such as Python, R, or similar languages commonly used in data science and machine learning
• Expertise in machine learning frameworks and libraries Tensor, Pytorch, sci-kit, Keras, etc. and their practical applications
• Solid understanding of deep learning architectures, natural language processing (NLP), computer vision, and other advanced machine learning techniques
• Experience with data visualization tools and techniques to communicate insights effectively
• Proficiency in SQL and working with large and complex datasets
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and DevOps practices for deploying machine learning models is desirable.Strong problem-solving skills and a track record of developing innovative solutions to complex technical challenges

Desirable

• Lead the end-to-end development and deployment of machine learning models, from data collection and preprocessing to model training and evaluation
• Collaborate with domain experts and cross-functional teams to identify business problems that can be solved through machine learning and data analysis
• Design and implement innovative machine learning algorithms that solve complex problems and provide actionable insights
• Apply advanced statistical techniques to analyze large and complex data sets, extracting meaningful patterns and trends
• Mentor and guide junior data scientists and machine learning engineers, providing technical guidance and fostering their professional growth
• Collaborate with data engineers to ensure data pipelines are efficient, reliable, and optimized for machine learning tasks
• Develop and maintain a deep understanding of industry trends, emerging technologies, and best practices in machine learning and data science
• Stay updated with the latest research and advancements in machine learning and identify opportunities to apply them to enhance our products/services
• Communicate technical findings and insights to both technical and non-technical stakeholders in a clear and effective manner
• Collaborate with cross-functional teams to integrate machine learning models into production systems and monitor their performance
• Ensure compliance with data privacy and security regulations in all data science and machine learning initiatives