Senior Data Scientist – Forecasting

3 weeks ago

Bangalore, India Happiest Minds Technologies Full time

Position:

Advanced Intelligence: Senior Data Scientist – Forecasting

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

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