Blend360 hiring 2023, 2022, 2021, 2020, 2019 Batches For Data Scientist, Data Analyst Roles
| JOB | DETAILS |
|---|---|
| Company | Blend360 |
| Role | Data Scientist, Data Analyst, Business Intelligence Analyst |
| Batch | 2023, 2022, 2021, 2020, 2019 |
| Education | BE/ B.Tech /M.TECH / ME |
| Salary | 12 LPA - 18 LPA |
| Experience | 0 - 2 Years |
| Last Date | Apply Asap |
| Location | Hyderabad |
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| More 2022 Batch Job Updates | CLICK HERE |
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JOB DESCRIPTION
We are #hiring Freshers for multiple roles at our Hyderabad Office !
We are open to hire software engineers, application developers, etc with 0-3 yrs experience !
If you are experts at Python & SQL and want to build your career in Data Analytics Industry, please join our rapidly growing team to avail the best opportunities to grow along with us!!
Apply From the below links.
We are open to hire software engineers, application developers, etc with 0-3 yrs experience !
If you are experts at Python & SQL and want to build your career in Data Analytics Industry, please join our rapidly growing team to avail the best opportunities to grow along with us!!
Apply From the below links.
Data Scientist:
Requirements
- Proficient & hands-on in Python is a must.
- Good Understanding Machine Learning and advanced analytical techniques such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization and their real-world advantages/drawbacks.
- Must have thorough mathematical knowledge of correlation/causation, decision trees, classification and regression models, recommenders, probability and stochastic processes, distributions, priors and posteriors.
- Good understanding of software engineering principles and fundamentals including data structures and algorithms.
- Must have excellent written and oral communication skills on both technical and non-technical topics.
- Must have excellent general analytical & problem solving skills.
Educational Qualifications
- Bachelor/Master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics
Data Engineer:
Requirements
- Proficient & hands-on in Python & SQL is a must.
- Good Understanding Machine Learning and advanced analytical techniques such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization and their real-world advantages/drawbacks.
- Must have thorough mathematical knowledge of correlation/causation, decision trees, classification and regression models, recommenders, probability and stochastic processes, distributions, priors and posteriors.
- Good understanding of software engineering principles and fundamentals including data structures and algorithms.
- Must have excellent written and oral communication skills on both technical and non-technical topics.
- Must have excellent general analytical & problem solving skills.
Educational Qualifications
- Bachelor/Master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics
BUSINESS INTELLIGENCE ANALYST:
Requirements
- Ability to gather, analyze, document and validate business requirements.
- Ability to gather & query business data from different data sources/databases using SQL and/or other tools such as Alteryx or Knime
- Familiarity with one or more data sources such as Microsoft Excel, Microsoft SQL Server, Oracle database or Amazon Redshift
- Ability to analyze data, identify trends and present findings with recommendations
- Ability to use tools such as Tableau or Power BI to analyze and build reports/dashboards (Looker, ThoughtSpot and Sisense, a plus)
- Familiarity with Python or R is a plus
- Demonstrate a desire to remain current with features in the latest industry technologies and standards
Educational Qualifications
- Bachelor/Master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics
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