DataZymes - Senior Manager - Decision Science

1 week ago

Bengaluru, India Datazymes Full time

QUALIFICATION REQUIRED :A master's or doctoral degree in a relevant field such as applied statistics and mathematics, data science, computer science, operations research or a related discipline.EXPERIENCE REQUIRED :- 8-12 years of experience in commercial analytics/decision sciences, in the pharmaceutical industry.- Proven experience in managing and delivering complex projects within the pharma analytics domain.- Strong expertise in commercial analytics like Multichannel Marketing Mix Measurement & Investment Optimization, Campaign Analytics , HCP/Account Segmentation and Performance Analytics etc.- Preferred experience in Patient / Market Access / Sales Analytics.- Experience leading and mentoring teams on complex analytical projects.Technical Skills :- Advanced knowledge of statistical analysis tools and programming languages such as Python, R, SAS, SQL, etc.- Strong understanding of AI/ML techniques and their applications in decision sciences.RESPONSIBILITIES :Project Planning and Delivery (Operations) :- Lead the strategic planning and execution of projects within the Decision Sciences vertical.- Collaborate with cross-functional teams to define project objectives, deliverables, timelines, and resource requirements.- Ensure effective project management, including scope management, risk assessment, and mitigation strategies.- Monitor project progress, identify bottlenecks, and implement corrective actions to ensure timely delivery of high-quality solutions.- Drive the development and enhancement of analytical products and solutions for commercial and marketing analytics.- Conduct market research and stay updated on industry trends, emerging technologies, and best practices.- Collaborate with internal stakeholders, including data scientists, software developers, and domain experts, to define product requirements.- Guide the product development lifecycle, from ideation and prototyping to testing, deployment, and maintenance.- Design, Develop, and deploy complex and innovative analytical solutions for clients.Research and Development (R&D) :- Conduct ongoing research on statistical methodologies, data analytics techniques, and emerging trends in the pharmaceutical analytics domain.- Evaluate the feasibility and applicability of new statistical models, algorithms, and AI/ML approaches.- Collaborate with the R&D team to design and conduct experiments, analyze results, and propose innovative solutions.- Translate research findings into actionable insights and contribute to thought leadership through publications, white papers, or conference presentations. (ref:hirist.tech)

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