Data Scientist â Forecasting
Data Scientist â Forecasting
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1 Vacancy
Job Description
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
1
2525 US Highway 130 BLDG D Suite 2
Cranbury NJ 08512
USA CANADA INDIA
MBE Certified Company E Verify Company
Employment Type
Full-time
