Data Science Manager

Sep 01, 2021

Job Description

+800 associates make up the CONEXTS Insights & Analytics team across our global service centers (NGSCs), they are on a data and digital transformation journey, leveraging analytics to generate actionable insights for Novartis medicines, catering to 20+ brands and 50+ disease areas, and impacting more than 500 million patients worldwide. The team is poised to enable easier, faster and reliable decisions for Novartis divisions across the globe.

Your key responsibilities:

• Work on a diverse business applications including but not limited to: Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recommender Systems, Develop automation for repeatedly refreshing analysis and generating insights Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization
• Ability to quickly work on proof of concepts with business stakeholders and scale with larger teams based in offshore. Collaborates with globally dispersed internal customers and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives
• Understands life science data sources including sales, contracting, promotions, social media, patient claims and Real-World Evidence
• Quick understanding of tools, data sources and analytical techniques needed to answer a wide range of critical business questions
• Articulates solutions/recommendations to business users. Works with Associate Director Analytics, integrated insights team members and offshore team members to present analytical content concisely and effectively.
• Project manages own tasks and works with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and independently drives issues to resolution, minimizes surprise customer concerns
• Independently identifies research articles and reproduce/apply methodology to Novartis business problems

Minimum Requirements

• Masters or bachelor’s in a quantitative field (e.g. Applied Mathematics, Computer Science, Bioinformatics, Statistics; can also consider Ops Research, Econometrics).
• English proficiency with outstanding communication skills (oral and written).
• 5+ years of proven experience in Data Science with pharma companies or service firms dealing with pharma partners in US, with a minimum of 5 years post qualification experience.
• Extensive experience in Statistical and Machine Learning techniques like Regression (Linear/Logit/Gamma), Clustering (K-Means/Modes/Hier), Decision Trees, Text Mining and Natural Language Processing, Stochastic models, Bayesian Models, Markov Chains, Monte Carlo Simulations, Non-linear Time Series, Dynamic Programming and Optimization techniques, Design of Experiments, Neural Networks, Statistical Inference, Collaborative Filtering, Feature Engineering, etc.
• Extensive experience in working with large-scale datasets (in bigdata architecture, data lake, data mart, data warehouse). Demonstrated use of analytical packages and query languages such as R, SQL, and Python.
• Experience in Big Data platforms like Hadoop eco-system (i.e. Hive, Pig, Sqoop, Mahout), other large scale computing systems will be an added advantage.

Why consider Novartis?

769 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.

We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.

We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!

Imagine what you could do here at Novartis!

Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here:
Distrito Federal
Full Time
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Data Science Manager

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