Experience: 0-1 Year
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 Responsibilities-
- 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.
- Assist in automating and optimizing data processes.
- Document processes and models for future use.
Qualifications-
- Education: 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.
- Analytical Mindset: Strong logical thinking and attention to detail.
- Soft Skills: Excellent communication and collaboration skills.
