Inspironlabs is Hiring Data Scientist Engineer (Trained Fresher) | Bangalore, India
Job Description
Inspironlabs is looking for a Data Scientist Engineer (Trained Fresher) to join our Data Science team. If you’re passionate about machine learning, data analysis, and predictive modeling, this is your opportunity to kick-start your career in a real-world business environment. Collaborate with cross-functional teams, work on complex data sets, and build innovative models that drive data-driven decisions.
Requirements
- Analyze and interpret large datasets using advanced statistical techniques
- Build predictive models and machine learning algorithms for real-world applications
- Clean, prepare, and validate data for analysis and modeling
- Visualize data insights using tools like Tableau, Power BI, or Matplotlib
- Collaborate with business stakeholders to deliver data-driven solutions
- Develop custom data models and algorithms
- Automate and optimize data processes for scalability
- Document processes, models, and solutions for future reference
Qualifications
- Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related fields
- Tools & Languages: Proficiency in Python/R, SQL, Excel
- Data Handling: Experience with data preprocessing, cleaning, and feature engineering
- Machine Learning: Basic understanding of algorithms like regression, classification, and clustering
- Visualization: Skills in data presentation using visualization tools
- Analytical Mindset: Strong problem-solving skills and attention to detail
- Soft Skills: Excellent communication, collaboration, and documentation skills
Location: Bangalore, Karnataka Experience: 0-1 Year (Trained Fresher) Job Type: Full-Time | Entry-Level
Why Join Inspironlabs?
- Work on cutting-edge data science projects with real-world impact
- Collaborate with a talented team of data scientists, engineers, and analysts
- Grow your skills in machine learning, data analytics, and big data technologies
- Be part of a company that values innovation, creativity, and continuous learning
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