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NOVARTIS
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Data Scientist I

Data Scientist I

NOVARTIS

7 - 12 years

20 - 25 Lacs

Hyderabad

Posted:2 months ago| Platform:

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Skills Required

Automation Claims Team management RF Pharma Analytical Forecasting SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Summary Understand complex and critical business problems from Country/Regional/Global business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. High agility to be able to work across various business domains (commercial, NTO, GDD, NIBR, NBS) or divisions (Onco, GenMeds, Sandoz). Able to use business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. No direct team management. About the Role Data Scientist I Location - Hyderabad #LI Hybrid Major accountabilities: Work on a variety of business applications including but not limited to: Customer Segmentation Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recom-mender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization Develop automation for repeatedly refreshing analysis and generating insights Collaborates with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives Understand life science data sources including sales, contracting, promotions, social me-dia, patient claims and Real-World Evidence. Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions Articulate solutions/recommendations to business users. Works with senior data science team member to present analytical content concisely and effectively Manage own tasks and work 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 escalations Independently identifies research articles and reproduce/apply methodology to Novartis business problems Has high learning agility and diligently follows updates in industry and area of work. Essential Requirements: Quality of insights generated, and solutions provided, with quantified business impact / ROI Effective communication with Country/Regional/Global stakeholders Executes agreed targets for self Define and execute development plans for potential Subject Matter Experts Find creative ways to build team capabilities and play a direct role in driving a culture of innovation Values and Behaviors: in line with leadership standards of Novartis Education: PhD or Masters (or bachelors from a top Tier University) in a quantitative discipline (eg Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, etc) Experience: 7+ years of relevant experience in Data Science. In case of PhD, 4+ years post qualification experience. Experience in commercial pharma would be a bonus . Extensive experience required in: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc), Classification (CART, RF, SVM, GBM, etc) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining and Natural Language Processing Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization techniques, Deep Learning techniques on structured and un-structured data, Recommender Systems (content and collaborative filtering), etc Tools and Packages: SAS, R, Python, SQL. Exposure to dashboard or web-apps building using Qliksense, R-Shiny, Flask, etc would be an added advantage.

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NOVARTIS

Pharmaceutical Manufacturing

Basel Baselstadt

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Data Scientist I