Manager - Data Science - Time Series Forecasting

Summary of Responsibilities:

- Understanding business objectives and formulate the problem as a Data Science problem

- Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting

- Develop and maintain robust data processing pipelines and reproducible modelling pipelines

- Explore data and communicate insights clearly to non-technical as well as technical audience

- Analyze experimental results, iterate and refine models to create significant business impact

- In-depth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new age algorithms like Prophet.

- Proven experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.

- Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting.

- Proficiency with at least one Deep Learning Framework such as PyTorch, Tensorflow, etc.

- Ability to guide and mentor junior Data Scientists on solution development

Desired Skills:

Requirements:

- Bachelor's Degree in a Quantitative discipline, preferably Computer Science

- >4 years' experience in data science/Analytics roles

- Proven experience as a Data Scientist or similar role

- Expert ability to write robust code in Python

- Expert skill at manipulating dataframes using Pandas and arrays using Numpy

- Familiarity with standard machine learning libraries (like scikit-learn , StatsModels)

- Deep Learning Frameworks like Tensorflow, PyTorch etc.

- Completed Projects on Time Series Forecasting, beyond statistical algorithms like ARIMA

- Excellent verbal and written communication skills

- You take complete ownership of your work and are self-driven