At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
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 maintainproficiency 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.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
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