Overview:
Walmart Hiring Freshers for Data Analytics Role. Candidates with Bachelor’s/ Master’s Degree from a reputed institute are eligible for these roles. More information and requirements is given below.
| Company Name | Walmart |
| Job Role | Data Analytics |
| Location | Bangalore, India(Hybrid) |
| Batch | Recent Batches |
| Salary (as per Ambitionbox or Glassdoor) | 16.5* LPA |
| Qualification | Any Graduate |
| Experience | 0 – 2 Year’s |
| Get Direct Job Links Here | Click Here |
Check out these Experienced Job Openings >>> Click Here
Key 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 scale
- Productionize 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 deploy cutting edge solutions at scale, impacting millions of customers worldwide drive value from data at Walmart Scale
- Interact with data science groups across Walmart to understand their major engineering challenges, build and propose solution for them.
- Identify right open source tools to deliver product features by performing research, POC/Pilot 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
Eligibiilty Criteria:
- Bachelor’s with 0-2 years of relevant experience
| Search Jobs by Qualifications:
Preferred Skills:
- Experience in Analyzing the Complex Problems and translate it 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, 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 of Python and R
- Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala)
- Experience with Teradata, SQL and relational databases, data warehouse
Job Openings in Banglore >>> Click Here
Additional Preferred Qualifications:
- Domain Knowledge of one or more divisions in Retail
- Published papers or given talks in leading academic and research journals
- Published papers or given talks in Data Science Forums
- Hold data science related patents
- Experience with data warehouse platforms – No SQL Databases (Cassandra)
- Experience with GPU/CUDA for computational efficiency
About the Company:
That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert’s and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
How To Apply:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, login and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
More Jobs From >>> Click Here
Apply Links:
Apply Link – Click Here
Join Our Telegram Channel – Click Here
Join Our Whatsapp Channel – Click Here
Follow us on Instagram – Click Here
| Search Jobs by Locations: