L & T is Hiring for Data Scientist:Hello jobseekers if you are looking for a job in good company then this is the best opportunity for you L&T Technology Services Limited Recruiting Experienced candidates for the position of Data Scientist.This job is Located in Mumbai,Maharashtra.if you have BE / Bachelor’s Degree then you can apply for this job. Company is offering a good salary 15 to 30 Lakhs per Annum for this position.So if you are interested in this job the read the all details mentioned below and apply for this job ASAP.
About Company
L&T Technology Services Limited (LTTS) is a company owned by Larsen & Toubro Limited that provides engineering and research services. They help with consulting, designing, developing, and testing throughout the entire product and process development.
LTTS works with 52 Fortune 500 companies and many top engineering firms in areas like industrial products, medical devices, transportation, telecom, and more. Based in India, the company has over 12,300 employees from 17 different nationalities and operates 16 design centers, 27 sales offices, and 39 innovation labs worldwide. L&T Technology Services Limited has Many employees are working and they are working very fine with work life balance and Peace of mind so if your are skilled enough for postion you can read the job role and Description and apply with well updated CV.
L & T is Hiring for Data Scientist
Company Name | L&T Technology Services Limited |
Post Name | Data Scientist |
Salary | 15 to 30 Lakhs per Annum |
Qualifications | BE / Bachelor’s Degree |
Experience | 0-8 years |
Job Type | Full Time |
Job Location | Mumbai,Maharashtra |
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Job Overview
A data scientist at L&T is responsible for collecting, cleaning, and analyzing data to solve business challenges. They build models to address these problems and use data visualization techniques to present their findings clearly. The role involves collaborating with various teams to discover how data can improve company strategies in areas like product development and marketing. Data scientists also evaluate new data sources, create custom algorithms, and use predictive modeling to enhance customer experiences and drive revenue. They set up A/B testing frameworks, coordinate with teams to implement models, and develop tools to monitor the performance and accuracy of data.
Qualification and Knowledge Required
- Degree in Data Science, Computer Science, Statistics, or Mathematics
- Proficiency in programming languages like Python or R
- Experience with SQL for data manipulation
- Strong understanding of statistics and machine learning techniques
- Familiarity with data visualization tools like Tableau or Power BI
- Excellent problem-solving skills
- Good communication skills for explaining technical concepts
- Experience in team collaboration for data-driven decisions
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Job Responsibilities
- Collect, clean, and analyze data.
- Create models to solve business challenges.
- Use data visualization to present information clearly.
- Collaborate with stakeholders to find ways to use data for business solutions.
- Analyze data from company databases to improve products, marketing, and strategies.
- Evaluate new data sources and methods for gathering data.
- Build custom models and algorithms for data analysis.
- Use predictive modeling to enhance customer experiences and boost revenue.
- Create an A/B testing framework to assess model quality.
- Work with different teams to implement models and track results.
- Develop tools and processes to monitor model performance and data accuracy.
Soft Skills Required
1. Communicate well and listen to work well with others
2. Collaborate with different people and the team to solve problem.
3. Figure out how to fix issues or improve things
4. Adapt quickly and learn new skills
5. Manage time effectively to meet deadlines
6. Pay attention to details to avoid mistakes.
7. Think carefully to solve complex problem
8. Be reliable and produce good work.
How To Apply
- Click on the link given below.
- Read all the documents.
- Filled All the details.
- Click on the submit button.