Data Scientist â Forecasting

Indianapolis, IN - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Position: Advanced Intelligence: Senior Data Scientist Forecasting

Location: Indianapolis IN
Duration: 12 Months

Key Responsibilities:

Apply advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products (Demand Forecasting good to have skills).
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 landscape-from financial operations to commercialization-to 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 5 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.
- Agent-based Simulation Model using Anylogic (Good to have).
- Any type of simulation model experience (Good to have).
- Statistical Forecasting: ARIMA THETA Exponential Smoothing
- ML-based Forecasting: GBM LightGBM XGBoost Linear Regression
- DL-based Forecasting: DeepAR NBEATS LSTM RNN
- Hierarchical Forecasting
- Cross-Validation: Rolling-window Expanding-window K-fold Hold-out
- MLOps is also good to have skills.
- Exposure to LLM or GPT good to have skills.

Additional Information:

Strong in Python and SQL R & Java 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.

Thanks & Regards

Thiru. S

Executive Staffing

NAM Info Inc

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2525 US Highway 130 BLDG D Suite 2

Cranbury NJ 08512

USA CANADA INDIA

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Position: Advanced Intelligence: Senior Data Scientist Forecasting Location: Indianapolis IN Duration: 12 Months Key Responsibilities: Apply advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products (Demand Forecasting good t...