Inspiron Labs Off Campus Hiring Fresher For Data Scientist Engineer drive is scheduled for freshers across India. So if you are interested for the same kindly apply as soon as possible.
Inspiron Labs Off Campus Drive: Inspiron Labs off campus hiring fresher for the Data Scientist Engineer Role for Bachelor’s or Master’s degrees graduates and any batch graduates are eligible. The detailed company eligibility and application details are given below.
About Inspiron Labs :
At Inspiron Labs, we combine Design Thinking with GenAI to deliver rapid, impactful digital transformation. Our mission: ignite innovation and craft exceptional digital experiences that fuel client success.
Job Description :
As a Data Scientist Engineer, you will be responsible for collecting, analyzing, and interpreting large data sets to support strategic decision-making. This role is perfect for individuals eager to apply machine learning techniques, data modeling, and statistical analysis in a real-world business environment.
Job Title : Data Scientist Engineer
Job Type : Full Time
Location : Bangalore
Experience : Trained Fresher
Role and Responsibility :
- Analyze and interpret complex data sets using statistical techniques.
- Build predictive models and machine-learning algorithms.
- Clean, prepare, and validate data for analysis.
- Visualize data insights using tools like Tableau, Power BI, or Matplotlib.
- Work with cross-functional teams to identify business needs and deliver data-driven solutions.
- Develop custom data models and algorithms.
Education and Skills :
- Pursuing/completed Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related fields.
- Tools & Languages: Knowledge of Python/R, SQL, Excel.
- Data Handling: Familiarity with data preprocessing and feature engineering.
- ML Basics: Understanding of basic machine learning concepts and algorithms.
- Visualization: Ability to present data using visualization tools.
How To Apply Inspiron Labs Off Campus Drive ??
All interested and eligible candidates can apply before expire in the following link.
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