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.