[Urgent Search] Senior Data Scientist II

Job Description

Organization:

Position:

Advanced Intelligence: Senior Data Scientist u2013 Forecasting

Key Responsibilities:

- Apply advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products.

- Incorporate financial modelling and corporate finance principles into forecasting frameworks to support long-term strategic planning.

- Develop robust, data-driven models that incorporate market dynamics, patient behavior, and competitive intelligence to generate accurate and actionable forecasts.

- Collaborate cross-functionally with marketing, commercial, and research teams to ensure alignment of forecasts with strategic objectives and product positioning.

- Leverage statistical, machine learning, and deep learning techniques to uncover insights that inform launch strategies and optimize product performance.

- Partner with key business stakeholders to identify, scope, and execute predictive analytics initiatives that address critical business needs and deliver measurable value.

- Maintain a strong understanding of the pharmaceutical landscapeu2014from financial operations to commercializationu2014to provide objective, data-driven input into strategic decisions.

- Collaborate within the analytics team, openly sharing knowledge and seeking feedback to enhance the quality and impact of analytical deliverables.

- Stay current with emerging techniques and tools in predictive analytics, ensuring methodological rigor and adaptability in approach.

- Work comfortably with varied data sources and types, ensuring seamless integration and analysis across structured and unstructured datasets.

Basic Qualifications (Must have):

- Masters or Bachelor in Statistics, Economics, Data Sciences, Engineering, or quantitative related field.

- Minimum of 6 years of working experience as a Data Scientist in industry.

- Deep and broad knowledge of Data Science methods and tools including Simulation 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, LSTM, RNN

- Hierarchical Forecasting

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

Good to Have:

- Agent-based Simulation Model using Anylogic

- Any type of simulation model experience.

- MLOps is also good to have skills.

- Exposure to LLM or GPT good to have skills.

- Strong in Python and SQL, R & Java is a good to have.

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Additional Information:

- 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 () 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.

Lillyu00A0does 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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