Walmart is hiring for Data Analyst II, Data Analytics | Apply Now!

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Walmart is hiring for the position of Data Analyst II, Data Analytics in Bangalore, India. Candidates with Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.

Job Description:

Company NameWalmart
PositionData Analyst II, Data Analytics
QualificationsBachelor’s Degree
Batch2018/ 2019/ 2020/ 2021/ 2022/ 2023/ 2024
ExperienceFreshers (0 – 2 Years)
LocationBangalore, India

Key Responsibilities:

  • Oversee end-to-end engineering solutions for Machine Learning on a large scale.
  • Incorporate data science solutions into tangible products effectively.
  • Develop efficient and high-quality code capable of functioning at Wal-Mart’s scale.
  • Operationalize ML models and address all challenges related to model management.
  • Implement parallelization of algorithms/model training to leverage distributed infrastructure and significantly reduce training time.
  • Embrace Wal-Mart’s quality standards and establish process standards and best practices within the retail industry.
  • Research, learn, and incorporate new technologies to address challenges and enhance existing solutions.
  • Engage in events aimed at fostering innovative solutions.
  • Design, develop, test, and deploy advanced solutions at scale, impacting millions of customers globally and extracting value from data at Walmart’s scale.
  • Collaborate with data science groups across Walmart to comprehend their primary engineering challenges and propose effective solutions.
  • Identify appropriate open-source tools to deliver product features through research, proof of concept (POC)/Pilot, and engagement with various open-source forums.
  • Deploy and monitor products on Cloud platforms efficiently.
  • Advocate for and uphold company policies, procedures, mission, values, and ethical standards with integrity.

Eligibility Criteria:

  • Possession of a Bachelor’s degree with 0-2 years of relevant experience.
  • Ability to analyze complex problems and translate them into data science algorithms effectively.
  • Proficient knowledge in various core Machine Learning areas such as Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, and Deep Learning Algorithms.
  • Experience in statistical learning including Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, and Topic Modeling.
  • Proficiency in big data analytics, with the capability to identify trends, patterns, and outliers within large datasets.
  • Strong expertise in one or more programming languages such as Python and R.
  • Strong proficiency with big data platforms including Hadoop (Hive, Pig, Map Reduce, HQL, Scala).
  • Experience working with Teradata, SQL, relational databases, and data warehouses.

Preferred skills:

  • Possession of domain knowledge in one or more divisions within the Retail industry.
  • Publication of papers or delivery of talks in reputable academic and research journals.
  • Publication of papers or presentations in Data Science Forums.
  • Holding patents related to data science.
  • Experience working with data warehouse platforms, particularly NoSQL databases such as Cassandra.
  • Experience utilizing GPU/CUDA for computational efficiency.

About Company:

We’re a tech powerhouse that innovates for the world’s largest retailer – Walmart. Since our inception, we’ve been dedicated to bringing about customer delight and convenience, on a global scale. Our technology-first products and solutions cater to millions of customers’ needs while saving them time and money.

How To Apply?

  • First, read through all of the job details on this page.
  • Scroll down and press the Click Here button.
  • To be redirected to the official website, click on the apply link.
  • Fill the details with the information provided.
  • Before submitting the application, cross-check the information you’ve provided.

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