Walmart Career | Data Analyst ll, Data Analytics

Walmart Career 2024: Hiring Freshers as Data Analyst ll, Data Analytics in
Bangalore, India. You can find more details about eligibility and the application process below.

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Walmart Hiring Details :-

Company Name:Walmart
Post Name:Data Analyst ll, Data Analytics
Salary: 7 – 11 LPA (via Glassdoor)
Degree:Bachelor’s Degree
Batch:2019/2020/2021/2022/2023/2024
Experience:Freshers(0-2yrs)
Job Location:Bangalore, India

Key roles and responsibilities:-

  • Manage end-to-end engineering solutions for Machine Learning at scale.
  • Integrate data science solutions into tangible products.
  • Write efficient and quality code that can work @ Wal-Mart scalProductionze ML models – tackle all model management challenges.
  • Parallelize algorithms/model training to make use of distributed infrastructure and reduce training time significantly.
  • Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry.
  • Research, learn & adapt new technologies to solve problems & improve existing solutions
  • Participate in events to build innovative solutions
  • Design, build, test, and depicting-edged solutions at scale, impacting millions of customers worldwide and driving value from data at Walmart Scale
  • Interact with data science groups across Walmart to understand their major engineering challenges, and build and propose solutions for them.
  • Identify the  right open source tools to deliver product features by performing research, POC/Pil, and/or interacting with various open source forums
  • Deploy and monitor products on Cloud platforms.
  • Promote and support company policies, procedures, mission, values, and standards of ethics and integrity

Academic qualifications :-

  • Bachelor’s with 0-2 years of relevant experience
  • Experience in Analyzing complex Problems and translating them into data science algorithms 
  • Sound knowledge in several areas in core ML such as Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural networks, and Deep Learning Algorithms.

Knowledge, skills and attributes:-

  • Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling 
  • Experience with big data analytics – identifying trends, patterns, and outliers in large volumes of data 
  • Strong Experience with one or more Python and R 
  • Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala) 
  • Experience with Teradata, S, QL and relational databases, data warehouse

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