Cognizant's DIPOD team is transforming its statistical forecasting processes by developing driver-based models, implementing model segmentation, and transitioning to building statistical forecasts at the optimal level for demand and supply planning. This role is crucial to drive this transformation and deliver on key project objectives.
Requirements
- Proficient in data manipulation, cleaning, exploration, and visualization using tools like Python (pandas, numpy, matplotlib, seaborn) or Tableau.
- Strong understanding and practical experience with various ML algorithms, particularly time series analysis techniques (ARIMA, Prophet, LSTM, etc.).
- Ability to identify, create, and select relevant features to improve model accuracy and interpretability.
- Preferred experience working with large time series datasets, including data management and efficient processing techniques.
- Strong programming skills in Python, including experience with relevant libraries for data science and machine learning.
- Solid foundation in statistical concepts, including hypothesis testing, regression analysis, and time series analysis.
Responsibilities
- Developing driver-based models
- Implementing a model segmentation approach
- Transitioning to building statistical forecasts at the optimal level (Right Stat, Right Level) for both demand and supply planning
- Data Analysis: Proficient in data manipulation, cleaning, exploration, and visualization using tools like Python (pandas, numpy, matplotlib, seaborn) or Tableau.
- Machine Learning Modeling: Strong understanding and practical experience with various ML algorithms, particularly time series analysis techniques (ARIMA, Prophet, LSTM, etc.).
- Feature Engineering: Ability to identify, create, and select relevant features to improve model accuracy and interpretability.
- Large-Scale Time Series Experience: Preferred experience working with large time series datasets, including data management and efficient processing techniques.
Other
- This role does not support visa-dependent candidates. Only candidates who are visa-independent are encouraged to apply.
- Remote
- We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
- If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
