Manager / Sr. Manager - Decision Sciences
We are looking for passionate and driven professionals to join DataZymes, a next-generation analytics and data science company founded in 2016. At DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms and consulting expertise. If you are excited about working on impactful solutions in the healthcare analytics space and want to be part of a high-performance, fast-growing team, we’d love to hear from you.
Job Summary
Project Planning and Delivery (Operations):
• 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, analyse results, and propose innovative solutions.
• Translate research findings into actionable insights and contribute to thought leadership through publications, white papers, or conference presentations.
Requirements
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:
• 7-12 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.
Communication and Leadership:
• Excellent communication and interpersonal skills. Ability to effectively collaborate with cross- functional teams and build relationships with clients.
• Strong leadership abilities to guide and mentor team members.
COMPETENCIES:
Communicating with Influence | Analysis & Problem solving | Professional Expertise Development |
Strong interpersonal skills, with an ability to take people along | Capitalizes on opportunities to pursue value. Brings issues out in the open so that all concerns can address and find solutions. | Has an open and learning mindset. Adapts to new learning approaches and methods |