Walmart

Data Scientist III

Walmart

full-time

Posted on:

Location Type: Office

Location: BangaloreIndia

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About the role

  • You will work in a team of talented data scientists to build robust, distributed and scalable applications solving interesting Supply Chain problems.
  • As a Data scientist, you’ll have the opportunity to Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.
  • Play a key role to solve complex problems, pivotal to Sam’s Club business and drive actionable insights from terabytes of data.
  • Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Sam’s Club.
  • Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
  • Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.
  • Develop PoC, present lucidly to the business and evolve the solutions.
  • Take forward the solutions into Pipelines/APIs as needed by the business.
  • Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.
  • Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry.
  • Stay up to date with and extending the state-of-the-art in Machine Learning research.
  • Integrate data science solutions into current business processes.
  • Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.

Requirements

  • Bachelor's/ Masters with 2.5+ years of relevant experience in Computer Science/Mathematics/Statistics or any other relevant field.
  • Strong desire to drive change, and ability to adapt to change quickly.
  • Strong hands on development skills to prototype technical solutions.
  • Strong oral and written communication skills.
  • Good problem-solving attitude and analytical skills.
  • Good Python development experience with big data.
  • Experience in analysing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
  • Expertise in machine learning, supervised and unsupervised along with Time Series.
  • Basic knowledge on Optimization.
  • Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
  • Experience with SQL, relational databases and data warehouse.
  • Experience in ML Ops (GCP desired).
  • Experience with multiple stakeholder management, data based story-telling and multiple project handling at the same time.
Benefits
  • Beyond our great compensation package, you can receive incentive awards for your performance.
  • Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningPythonbig dataSQLdata science algorithmsoptimizationML Opsdata analysistime seriesstatistical analysis
Soft Skills
problem-solvinganalytical skillscommunication skillsadaptabilitystakeholder managementcollaborationinfluencingpresentation skillschange managementstorytelling
Certifications
Bachelor's degreeMaster's degree