Data Scientist (Pricing)
HP Development Company
Bengaluru, India
4d ago

If you are our Data Scientist in Bangalore, you will have a chance to

  • Apply statistical methods to analyze the effect of pricing and sales decisions on business performance
  • Experience building and interpreting machine learning models on real business data, e.g. Naive Bayes, Random Forests, boosted trees, neural networks
  • Ability to merge different data sources, analyze data and conduct regression analyses (incl. Probit / Logit and other GLM) is required
  • Experience validating data flows and preparing ETL processes according to business requirements
  • Visualize and interpret the results of the analyses, including strategy recommendations
  • Present the results and the corresponding recommendations to the relevant stakeholders, including senior leadership
  • Design and implement dashboards for the management to track current sales / profit performance.
  • Develop and implement frameworks and processes for systematic data analysis.
  • Additional Qualifications

  • 5 years of advanced analytics experience
  • Advanced proficiency with R language is required. Familiarity with other relevant languages is a plus.
  • Design, develop and validate statistical models for supporting pricing decisions.
  • Recommend and refine ongoing improvements to pricing models and algorithms.
  • Strong analytical skills, with a high level of attention to detail. Proficient in Microsoft Excel and database management
  • Manipulate data from varying sources to highlight patterns, anomalies, relationships and trends.
  • Good understanding of financial metrics and ability to leverage pricing decision using financials.
  • Must be a team player, who is diplomatic, savvy, and has a high level of emotional maturity. Ability to build strong relationships across different functions
  • University degree in a quantitative discipline (e.g., Quantitative Economics or Quantitative Marketing, Statistics, Econometrics,) with advanced degree preferred
  • Ability to design reporting dashboards and knowledge of reporting software (e.g. Tableau, Shiny)
  • Analytics experience in marketing / pricing is a plus
  • Scope & Impact

  • Collaborates with peers, junior engineers, data scientists and project team.
  • Typically interacts with high-level Individual Contributors, Managers and Program Teams.
  • Leads a project requiring data engineering solutions development.
  • Education & Experience

  • Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
  • Typically 4-6 years’ experience including graduate or postgraduate research.
  • Advanced analytics experience in marketing / pricing is a plus
  • Apply
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