Walmart Recruitment 2024

 

Role                                   :- Data Analyst

Salary                                :- 7 - 8 LPA (EXP)

Experience                        :- Freshers / Experienced

Employment Type           :-  Full - Time

Location                           :- Bangalore

Qualification                    :- B.Tech, M.Tech, B.Sc (Computer Science)

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

Requirements:

• 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.

• 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

Application Link : Click here to apply