Principal Scientist – Forecasting

Organization: 

At Lilly, we believe in the talent of our workforce. One of the best ways to utilize and develop that talent is to use our existing workforce to fill new and/or open positions. If you are looking for a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country where the position is to be considered. When applying internally for a position, your current supervisor will receive notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying. 

Position: 

Advanced Analytics & Data Sciences: Principal Scientist – Forecasting 

Key Responsibilities: 

• Partner with key business partners and work within team to identify, scope, and execute predictive analytic efforts that leverage data to answer business questions, solve business needs, and add business value 

• Work on challenging problems across the pharmaceutical value change such as Discovery Research, Supply Chain, Manufacturing, Finance, Clinical Trials. 

• Maintain a broad understanding of the pharmaceutical industry (from discovery to commercialization) and be fully engaged with teams, bringing an objective voice to the table, and facilitating decisions grounded in data. 

• Collaborate with other analytics team members to review and provide feedback on the analytics work being done and be willing to seek feedback from other team members about your own work. 

• Stay current with respect to new analytical methods in the area of predictive analytics, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected. 

• Developing the strategy of Forecasting for Newly Launched Product. 

• Agility and flexibility to work with very diverse problems and business partners. 

• Ability to work with diverse data sources and data types. 

Basic Qualifications: 

• Masters in Statistics, Economics, Operations Research, Data Sciences, Engineering, or quantitative related field 

• Deep and broad knowledge of Data Science methods and tools including model building principles, machine learning, and best practices. 

                                  - Point Forecasting and Probabilistic Forecasting 

                                  - Statistical Forecasting: ARIMA, THETA, Exponential Smoothing 

                                  - ML based Forecasting: GBM, LightGBM, XGBoost, Linear Regression,  

                                  - DL based Forecasting: DeepAR, NBEATS, LSTM, RNN 

                                  - Hierarchical Forecasting 

                           - Foundational Time Series Model 

                                  - Cross-Validation: Rolling-window, Expanding-window, K-fold, Hold-out 

• 9-14 years of experience working as a Data Scientist in industry 

Additional Information: 

• Strong in R and SQL, Python is a good to have 

• Strong communication skills 

• Bring Analytics to life by giving it zeal and making it applicable to our business. 

• Know, learn, and keep up-to-date on the analytical, computational and scientific advances to maximize your impact. 

• Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients.