Senior Executive-Data Scientist

Role Overview: You will be responsible for developing and implementing advanced statistical models, machine learning algorithms, and data mining techniques to analyze complex pharmaceutical data. Additionally, you will perform exploratory data analysis to identify trends, patterns, and insights that can drive business decisions. Your role will involve creating predictive models to forecast demand, optimize supply chain processes, and improve product quality. Furthermore, you will utilize advanced analytics techniques to optimize manufacturing processes, enhance quality control, and improve overall operational efficiency. Your responsibilities will also include exploring and implementing generative AI solutions to drive innovation and enhance operational processes. Key Responsibilities: - Develop and implement advanced statistical models, machine learning algorithms, and data mining techniques - Perform exploratory data analysis to identify trends, patterns, and insights - Create predictive models for demand forecasting, supply chain optimization, and product quality improvement - Utilize advanced analytics techniques to optimize manufacturing processes and enhance quality control - Conduct root cause analysis using data-driven approaches - Implement natural language processing (NLP) techniques to analyze textual data - Explore and implement generative AI solutions - Lead the development and deployment of AI-based use cases - Work with large datasets to extract meaningful insights - Develop and maintain data pipelines and ETL processes - Collaborate with cross-functional teams and external partners - Stay updated with the latest advancements in data science, machine learning, and artificial intelligence - Identify opportunities for process improvement and innovation - Promote a culture of continuous learning and improvement Qualifications Required: - Bachelors/Masters/Ph.D. degree in Data Science, Statistics, Computer Science, Engineering, or a related field - Minimum 5 years of experience in data science or advanced analytics projects within the pharmaceutical industry with expertise on AI - Proven expertise in building and deploying advanced analytics solutions for pharmaceutical operations - Experience working with clinical trial data, manufacturing data, and sales data - Strong proficiency in statistical methods, machine learning, and data analytics - Hands-on experience with data science tools and platforms, such as Python, R, SQL, TensorFlow, and PyTorch - Excellent data visualization skills with tools like Tableau, Power BI, or similar - Knowledge of big data technologies, such as Hadoop, Spark, and NoSQL databases - Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders - Analytical mindset with the ability to leverage data to drive decision-making and innovation - Basic understanding of data engineering principles and practices,