As a Data Scientist at HP Inc, you will be part of the team responsible for Statistical Forecasting & Analytics for Personal Systems worldwide. Key focus areas include Forecast Accuracy and Bias. This role involves close collaboration with various business units, regions, and functions across multiple domains.
Responsibilities
- Apply Statistical forecasting algorithms to predict Personal System business for short-term and long-term periods.
- Utilize Machine Learning and Deep Learning techniques to enhance statistical Forecasting accuracy.
- Craft compelling business narratives using storytelling and Visualization techniques to align with the Demand Planning team.
- Present analytical insights to Management, providing valuable strategic direction.
Requirements
- Prior experience in Demand Planning/Forecasting within Product-Based/Consultancy organizations.
- Proficiency in Statistical Forecasting techniques (Time series, Holts Winter, Regression analysis, ARIMA, ARIMAX, etc.).
- Proficiency in R/Python and Machine Learning Techniques (Random Forest/Decision Trees, Deep Learning).
- Experience with Visualization tools like Power BI/Tableau preferred.
- Familiarity with Databases. MS SQL/Oracle SQL.
- Exposure to Cloud solutions such as AWS/Microsoft Azure is advantageous.
- Ability to design analytics solutions, simulation, and modeling to address business challenges.
Why Join HP
At HP, we are committed to creating sustainable impact, aiming to generate positive, lasting change for the planet, its people, and our communities. We prioritize human capital development and adopt progressive workplace practices, making HP a Human Capital Partner in India.
Join Us. If you are a high-performer seeking to make a purposeful impact on the world through innovative technology, HP is the place for you. Join us in our mission to create technology that enriches lives globally.