### **Summary** \~ Understand business problems, support an integrated analytical approach to extract data sources, manage data effectively, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, uncover actionable insights, and automate processes to reduce repetitive effort and time. Provide quantitative and data science analytical support ensuring timely delivery of high-quality reports. Develop capabilities to leverage data science. ### **About the Role** \~ Under supervision from managers and team members, gradually working more independently \~ Translate business questions into analytical problems and create solutions using visualization techniques, machine learning and deep learning, and statistical modeling \~ Identify and develop data management techniques, new algorithms, methods, statistical models, and business models, providing insights from structured and unstructured data \~ Quickly learn and test tools, data sources, and analytical techniques necessary to answer a broad range of critical business questions and improve the status quo \~ Identify research papers and reproduce/apply innovative methodologies to Novartis business problems \~ Deliver clear and actionable business intelligence to key stakeholders \~ Demonstrate understanding in one or more areas of data science and ability to show practical knowledge of techniques \~ Help develop new quantitative methods aimed at improving processes across various projects and creating new analytical opportunities by integrating existing and new data sources \~ Support various projects of limited scope \~ Report technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt \~ Distribution of marketing samples (where applicable) Key Performance Indicators \~ Successful implementation based on KPIs and data management, objectives of the advanced analytics program Work Experience \~ Minimum 2 years of relevant experience in data analysis and validation Hard Skills \~ Biostatistics \~ Computer Programming \~ Data Analysis \~ Data Management \~ Data Mining \~ Data Visualization \~ Databases \~ Deep Learning \~ Graph Algorithms \~ High-Performance Computing \~ Logistic Regression Model \~ Machine Learning (ML) \~ Panda (Python) \~ Python (programming language) \~ R (programming language) \~ Random Forest Algorithm \~ SQL (Structured Query Language) \~ Statistical Modeling \~ Time Series Analysis \~ Data Management \~ Data Quality \~ Master Data Management Language: Advanced English **Why Novartis:** Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture **Join our Novartis Network:** Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network **Benefits and Rewards:** Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits\-rewards Division International Business Unit Universal Hierarchy Node Location Mexico Site INSURGENTES Company / Legal Entity MX06 (FCRS \= MX006\) Novartis Farmacéutica S.A. de C.V. Functional Area Data and Digital Job Type Full time Employment Type Regular Shift Work No ### **Accessibility Adjustments** Novartis is committed to working and providing reasonable accommodations for individuals with disabilities. If, due to a medical condition or disability, you require a reasonable accommodation at any stage of the recruitment process or to perform the essential functions of a position, please email \[email protected] and let us know the nature of your request and your contact information. Include the position number in your message.