Pricing Analyst in Hyderabad at Advance Auto Parts

Date Posted: 2/12/2021

Career Snapshot

Career Description



Job Description

Pricing Analyst – Data Science

Looking for Data Scientist with strong knowledge in Python and Machine Learning to join our Pricing Analytics team. Applicants should have Strong fundamental understanding and research experience in machine learning / Deep Learning / NLP / Information Retrieval / Artificial Intelligence areas like statistical analysis, predictive modeling, data mining / text mining with / NLP / NLTK, Segmentation, Time Series Forecasting etc. with advanced level proficiency in Python programming

Roles and Responsibilities

  • Understand the Business dynamics and Identify potential new business problems that can be solved through machine learning
  • Strong applied knowledge of machine learning in solving business problems with a significantly broad number of algorithms covering the landscape of classification, regression;
  • Design, build, test and implement predictive Machine Learning models
  • Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information
  • Develop new algorithms for predicting or influencing consumer behavior prediction (eg : next purchase, attrition, spend and ROI optimization etc.)
  • Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences.

Requirements

Candidates should have

  • BE/BTEch or Masters in Mathematics/Computer Science from a reputed institution with good academic record.
  • 2-4 years of hands on experience in advance analytics using AI/ML techniques, python/R and visualization skills.
  • Exposure to cloud technologies (e.g. Azure), visualization tools (e.g. PowerBI) will be desirable
  • Excellent understanding of complex system architecture, components and requirements
  • Knowledge in deep learning algorithms both supervised and unsupervised
  • Experience in Retail/Auto/Finance/Auto industry will be added advantage.

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