National Engineering Industries Hiring Drive 2024: National Engineering Industries Hiring Drive 2024 for its Data Scientist. National Engineering Industries Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Graduation in domains like (Engineering, Economics, Statistics). if you are interested, please apply as soon as possible.
Company Name: National Engineering Industries
Role: Data Scientist
Location: Jaipur
Experience: 1-5 years
Qualification: Graduation in domains like (Engineering, Economics, Statistics)
Batch: Any
Job Type: Full Time
Salary: Best in Industry
National Engineering Industries Hiring Drive 2024
Job Description:
- Analyze and convert data into meaningful analysis and provide insights, applications and solutions to internal customers to help take decisions and improve ongoing/ future KPIs.
Requirements:
- Graduation in domains like (Engineering, Economics, Statistics),
- PG or specialized certifications in DS equally preferred
- 1-5 years
- Good mathematical understanding of machine learning models, ML Pipelines, Azure Cloud, SQL
- Should know concepts like REST API to integrate with various services
- Expertise in Python for scripting, Django for dashboarding & data visualization, Power BI
- Data management & analysis
- Interpersonal skills
- Influencing skills
- Communication skills – ability to communicate the solution in layman terms
- Collaboration skills
- Active listening skills
Responsibility:
- Understand the problem statement and Use case
- Break it down to the level to understand source data
- Validate completeness of data for analytics and data science purpose
- To obtain the customer’s data requirements and set up data infrastructure by doing exploratory data analysis, data cleansing & preparation
- Collaborate with customer team to understand and source data
- To create the solution that could be a dashboard, a system that automates task, an app or some report
- To slice and dice data to come up with insights and pattern not visible through normal analysis
- Move beyond the obvious and use the power of data for business improvement
- To get continuous feedback from the customers and to adapt/ modify the solution as per the feedback
- To train the customer in order to make it possible to use the solution
- Algorithm and data model should be deployed to run in an auto mode without manual intervention
- Use the edge cloud infrastructure for final deployment
- Agile improvements in the code without disturbing the output and stability
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