
Analytical Leader
2 weeks ago
We are looking for a talented professional to fill the role of Data Science Manager. In this position, you will be responsible for leveraging analytics and technology to drive decision-making and tackle some of the world's greatest health threats.
Within our commercial Insights, Analytics, and Data organization, we are transforming to better power decision-making across our end-to-end commercialization process. As we endeavor, we seek a dynamic talent to be a founder and serve in this role.
Key Responsibilities:- Conduct comprehensive analysis to measure marketing performance using advanced statistical techniques and optimize promotional investment
- Partner with cross-functional teams to gather and organize data from multiple sources, ensuring data accuracy and completeness. Use organizational and industry information to identify trends, assess current business practices and results, and/or evaluate specific function/operation changes and anticipate their impact
- Identify KPIs to evaluate marketing performance and provide actionable insights to optimize marketing strategies and budgets. Effectively articulate business findings with stakeholders
- Develop and maintain regular analytics deliverables and meet quality standards by following best practices, timeliness, compliance, and excellent user experience. Mentor junior members of the team to maintain execution excellence
- Proactively build effective working relationships with those who have knowledge, experience, resources, or influence to advance work goals. Have an agile mindset of continuous learning and focus on integrating enterprise value into team culture
- Collaborate with other members in the team to create and present compelling, easy-to-understand data visualization and data-driven insights for analytics leaders from the U.S. and Ex-US markets
- Master's degree (relevant field like Economics, Statistics, Mathematics, Operational Research) with 4 to 7 years work experience
- Bachelor's degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 5-7 years relevant experience
- Work experience in the Pharma industry will be preferred
- Strong programming skills in languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, statsmodels)
- Proficiency in SQL for data extraction and manipulation from databases
- Knowledge of statistical modelling techniques such as linear regression, logistic regression, decision trees, and clustering
- Good understanding of MS Excel and PowerPoint
- Strong problem-solving, business analysis, and quantitative skills
- Ability to effectively communicate analysis insights to business stakeholders
- Exposure to agile framework & project management
- Marketing Mix Model experience
- Experience with real-world data (e.g., claims, electronic health records)
- Familiarity with both structured and unstructured data
- Experience with data science principles and machine learning algorithms (supervised and unsupervised), test-control analysis, propensity score matching, etc.
- Understanding of other tools like Tableau, PowerBI, Dataiku, etc.
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