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:

  • Lead end-to-end engineering solutions for Machine Learning initiatives at scale.
  • Incorporate data science methodologies into tangible product development.
  • Develop efficient and high-quality code capable of functioning at Wal-Mart’s scale.
  • Operationalize ML models, addressing all challenges associated with model management.
  • Implement parallelization techniques for algorithm and model training, leveraging distributed infrastructure to significantly reduce training time.
  • Uphold Wal-Mart’s quality standards and establish process standards and best practices within the retail industry.
  • Stay abreast of emerging technologies, researching, learning, and adapting to solve challenges and enhance existing solutions.
  • Engage in events aimed at fostering innovation and developing novel solutions.
  • Conceptualize, construct, test, and deploy innovative solutions at scale, impacting millions of customers globally while leveraging Walmart’s extensive data resources.
  • Collaborate with data science teams across Walmart to understand their engineering obstacles and propose effective solutions.
  • Evaluate and recommend appropriate open-source tools for product feature delivery through research, proof-of-concept, and engagement with open-source communities.
  • Deploy and oversee product performance on Cloud platforms.
  • Advocate for and uphold company policies, procedures, mission, values, and ethical standards.

Eligibility Criteria:

  • Possess a Bachelor’s degree with 0-2 years of applicable experience.
  • Proficient in analyzing complex problems and translating them into data science algorithms.
  • Demonstrated expertise in various core Machine Learning areas including Forecasting, Classification, Data/Text Mining, Natural Language Processing (NLP), Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, and Deep Learning Algorithms.
  • Skilled in statistical learning encompassing Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series Analysis, Dynamic/Causal Modeling, Statistical Learning, and Guided Decisions, as well as Topic Modeling.
  • Experienced in big data analytics, adept at identifying trends, patterns, and outliers within extensive datasets.
  • Proficient in either Python or R programming languages.
  • Proficient in big data platforms such as Hadoop (including Hive, Pig, MapReduce, HQL, Scala).
  • Familiarity with Teradata, SQL, relational databases, and data warehousing concepts.

Preferred skills:

  • Possess domain knowledge in one or more divisions within the retail sector.
  • Have authored publications or delivered presentations in prominent academic and research journals.
  • Have authored publications or delivered presentations in forums related to Data Science.
  • Hold patents related to data science innovations.
  • Possess experience with data warehouse platforms, particularly NoSQL databases such as Cassandra.
  • Have experience utilizing GPU/CUDA for enhanced 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?

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  • 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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