Manager/Senior Manager - Data Science (Pharma & Life sciences)

About the job Tiger Analytics is an advanced analytics consulting firm that partners with some of the largest global organizations to turn data into actionable insights. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences. If you are passionate about leveraging data science to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics. Responsibilities Lead and manage data science projects from ideation to execution, ensuring that they meet client needs and deliver impactful results Work closely with clients to understand their business challenges and translate them into data-driven solutions Develop and implement advanced analytics models, including predictive and prescriptive analytics, to drive business improvement initiatives in the Pharma & Life Sciences domain Utilize a variety of data sources, such as patient data, clinical data, and market intelligence, to generate actionable insights Collaborate with cross-functional teams, including data engineers and business stakeholders, to ensure successful deployment of data science solutions Mentor and guide junior data scientists and analysts, fostering a culture of learning and innovation Present findings and recommendations to executive-level stakeholders, effectively communicating complex concepts in a clear and compelling manner Stay updated on industry trends, emerging technologies, and advanced analytics methodologies, and share knowledge with the team Requirements 8-12 years of professional experience in data science, analytics, or a related field, with significant exposure to the Pharma & Life Sciences sector Strong proficiency in statistical analysis, machine learning techniques, and data mining methodologies Hands-on experience with programming languages such as R, Python, and SQL, as well as familiarity with data visualization tools like Tableau or Power BI Proven ability to work with large datasets and perform complex data analyses Excellent project management skills and the ability to manage multiple projects and priorities effectively Strong problem-solving skills and a detail-oriented mindset Experience in communicating analytical results to senior management and facilitating decision-making processes Master's degree or higher in Data Science, Statistics, Computer Science, or related field is preferred Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.