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Website Walmart
Job Description:
This position is in the data science team under the Advertising Technology organisation. The mission of the Advertising Technology organization is to advance Walmart eCommerce by driving higher value for our customers and vendor partners. Walmart is investing in building a world class advertising platform and the Ads team is responsible for defining and performance advertising products that drive discovery, sales and profits.
Job Responsibilities:
- Staying current on published data mining, machine learning and modelling techniques and competing technologies and sharing these findings with scientists and engineers in the organisation;
- Maintaining world-class academic credentials through publications, presentations, external collaborations and service to the research community.
- Working with product and other business stakeholders to define our roadmap to drive advertiser value and enhance customer experience;
- Develop, implement, and test scalable solutions for improving ad targeting; interacting with other teams to define interfaces and resolving dependencies;
- Researching and implementing methodologies to measure the impact of the technologies
Job Requirements:
- Strong hands-on skills in sourcing, cleaning, manipulating and analysing large volumes of data using distributed computing platform;
- Prior Experience in projects related to Online Advertising Domain
- Strong written and oral communication skills.
Qualification & Experience:
- Bachelors or equivalent degree in a computational science with 9+ years in Data Science
- Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning;
- Strong implementation experience with high-level languages, such as Python, R, Scala or similar scripting language, and familiarity with Linux/Unix/Shell environments;
Job Details:
Company: Walmart
Vacancy Type: Full Time
Job Location: Hubli, Karnataka, IN
Application Deadline: N/A
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