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Staff Data Scientist

7.00 to 12.00 Years   Bangalore   02 Feb, 2021
Walmart
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryRetail
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Position Title: Staff Data ScientistMarketing Intelligence (MINT) team at Walmart Global Tech, Bengaluru, owns the responsibility of delivering on promise of EDLP (Every Day Low Prices) to our customers. It is focused on collecting competitive product information and generate actionable insights for pricing, assortment, marketing optimization purpose for stores and e-commerce business across geographies. Our systems are build on cutting edge open-source technologies.There is a vibrant data science community at Walmart Global Tech which provides great learning and collaboration opportunities. Apart from the numerous internal events, there is active participation in external events. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.Your OpportunityTo fulfill the charter of MINT, there is need for top notch talent in the Sciences space. You would be working on challenging problems in NLP leveraging ML and DL and in optimization. All of the problems will require building solutions at Walmart scale. The best part of MINT is that your solutions/models will generate tangible and immediate business impact.Your ResponsibilityAs a Staff Data Scientist for Walmart Labs, you ll be required to shape and deliver on the MINT sciences charter.

  • Working together with a team of data scientists and machine learning engineers to develop, implement, and test scalable solutions for marketing intelligence domain.
  • Consult with business stakeholders across stores and ecommerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
  • Mentor junior members and handle multiple projects at the same time.
  • Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up-to-date with and extending the state-of-the-art in data science research.
  • Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications
Your Qualifications
  • Bachelor s with > 12+ years of relevant experience OR Masters with > 10+ years of relevant experience OR PhD in Computer Science with > 5+ years of relevant experience.
Our Ideal CandidateYou are a technically strong and high performing individual with excellent communication skills, proven analytical skills and strong customer focus. You stay updated with latest research and technology ideas, and have a passion to utilize innovative ways to solve problems. You are a good story-teller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders.Your Core Skills
  • Sound knowledge of advanced machine learning and deep learning concepts
  • Expert in ML (decision trees, random forests, boosting, etc.) and
  • Proficiency in DL (CNNs, RNNs, attention mechanisms, etc.)
  • Extensive experience building and deploying state of the art models in the field of NLP (NER, embeddings, language models, etc.)
  • Strong foundational knowledge in math, statistics and calculus
  • Sound knowledge of managing data for experiments (sampling, labelling, EDA, etc.)
  • Experience working with large data sets in big data environments (preferably Hadoop based)
  • Working proficiency in Python, SQL and Linux/UNIX environments
  • Exposure in mentoring data scientists on approach and results.
Added Advantages
  • Knowledge of experimental design and A/B testing
  • Prior work in any of the following areas: computer vision, mathematical optimization, reinforcement learning (multi armed bandits).
  • Experience in retail domain
Walmart Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity unique styles, experiences, identities, ideas and opinions while being inclusive of all people.,

Keyskills :
big datamusic makingsqldeep learninganalyticsinteractive creative directionhandle multiple projectspythondata analysisdata sciencemachine learning

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