Data Science Manager

As a Data Science Manager at Beghou Consulting, you will lead a team of talented data scientists in leveraging advanced analytics, machine learning, and Gen AI techniques to extract insights from complex datasets in the pharmaceutical / life sciences domain. Your role will involve effectively communicating these insights to various technical and non-technical audiences to optimize end outcomes. Collaboration with cross-functional teams is crucial to drive data-driven decision-making and shape product development and commercial delivery. Your experience in generative AI will be instrumental in exploring novel life sciences use cases and driving business development. Key Responsibilities: - Lead and mentor a team of data scientists, providing guidance and support in project execution, methodology selection, and professional development. - Collaborate with stakeholders to define project objectives, deliverables, and success criteria, ensuring alignment with business goals and priorities. - Design and implement advanced analytics solutions to address complex challenges in drug discovery, clinical development, and commercialization. - Apply machine learning techniques, including deep learning and generative AI, to analyze diverse datasets (structured and unstructured) and generate actionable insights. - Drive innovation by staying abreast of emerging trends, technologies, and best practices in data science and the pharmaceutical industry. - Establish robust processes for data collection, preparation, and validation, ensuring the reliability and integrity of analytical models and findings. - Communicate findings and recommendations to technical and non-technical stakeholders through clear, compelling visualizations, presentations, and reports. - Collaborate with IT and data engineering teams to optimize data infrastructure and facilitate seamless integration of analytics solutions into existing systems. - Participate and contribute to thought leadership through active innovation, research, and publication. - Own project management and provide guidance to project teams of junior team members. Qualifications Required: - Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) required; Ph.D. preferred. - 9+ years of experience in data science, with a proven track record of delivering impactful solutions in the pharmaceutical and life sciences industry. Hands-on experience is preferred. - Demonstrated success in managing data & analytics engagements in life sciences or healthcare industries. Preferred expertise in analytics related to drug commercialization (sales force analytics, omnichannel, attribution modeling, etc.). Analytical Diversity and agility preferred. - Strong proficiency in machine learning, statistical analysis, and data manipulation using Python, or similar state-of-the-art tools. Experience in development and deployment of large-scale products/solutions is preferred. - Experience working with cloud platforms such as AWS, Azure, or GCP, including deploying, managing, and optimizing cloud-based solutions. - Experience with generative AI development and associated techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and RL (Reinforcement Learning), preferred. - Demonstrated leadership skills, with experience in managing and mentoring a team of data scientists and collaborating with other stakeholders (consulting, IT, tech, etc.). - Excellent communication and collaboration skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences. Client management experience is a plus. - Strong problem-solving and critical-thinking abilities, with a research-oriented mindset and passion for tackling challenging problems, driving innovation in healthcare using ever-evolving AI techniques. Join the highly collaborative, values-driven team at Beghou Consulting, where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!,