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Statistical Forecasting - Data Scientist

3.00 to 6.00 Years   Bangalore   09 Feb, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

#LI-PostHP is the world s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works. At HP, the future is yours to create!This is an opportunity to join HP Inc team responsible for Statistical Forecasting & analytics for Personal Systems (Worldwide: Americas, Europe & Asia). Key metrics include, Forecast Accuracy and bias. The team works closely with various business units, regions, functions across multiple domains.If you are our Statistical Forecasting Data Engineer in India, you will get an opportunity to work on:

  • Apply Statistical forecasting algorithms to forecast Personal system business for short term and long-term horizon.
  • Explore Machine learning and Deep learning techniques to improve statistical Forecasting accuracy.
  • Create business narrative by using storytelling and Visualization techniques to align with Demand Planning team.
  • Opportunity to present analytical insights to Management.
Are you a high- performer We are looking for an individual with.
  • Prior Experience in Demand Planning / Forecasting in Product Based/ Consultancy organisation.
  • Statistical Forecasting techniques (Time series, Holts Winter, Regression analysis, ARIMA, ARIMAX etc.)
  • Good Communication & Presentation Skills
  • R /Python, Machine Learning Techniques (Random Forest/Decision Trees, Deep Learning)
  • Visualization skills: Power BI/Tableau would be preferable.
  • Database: MS SQL/Oracle SQL
  • Exposure to Cloud solutions like AWS/Microsoft Azure will be an added advantage
  • Ability to design analytics solutions, simulation, modelling to address business problems.
,

Keyskills :
machine learningpythondata analysissqlanalyticskey metricsdeep learningbusiness unitsdemand planningprint brokeringregression analysisData Scientist

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