Junior Data Scientist – Work From Home: Complete Job Overview (2025 Guide)

If you want to start your career in data science and are looking for a remote, beginner-friendly job, the Junior Data Scientist role at ClinicMind is one of the best opportunities. ClinicMind is a leading healthcare SaaS platform known for using advanced technology, automation, and analytics to improve patient care and financial performance for healthcare providers.

This job allows you to work fully remote, collaborate with global teams, and grow your skills in AWS, data visualization, analytics, and BI tools—even if you are just starting your career.

Job Overview Table

FeatureDetails
RoleJunior Data Scientist
CompanyClinicMind
Work ModeFully Remote (Work From Home)
LocationBengaluru, India (Remote Eligible)
Experience LevelEntry-Level / Junior
IndustryHealthcare SaaS
Tools UsedAmazon QuickSight, Amazon Redshift, SQL, Python/R
Ideal ForFreshers, Data Analysts, Junior Data Scientists, BI Beginners

About the Company – ClinicMind

ClinicMind is a powerful healthcare SaaS system that helps medical practices improve:

  • Revenue cycle efficiency
  • Patient engagement
  • Financial performance
  • Operations through EHR + RCM automation

The company relies heavily on data-driven decisions, making the Data Science team one of the most important departments.

Position Summary

The Junior Data Scientist will support data analysts, senior scientists, and business teams by:

  • Cleaning and managing large datasets
  • Building dashboards
  • Automating reports
  • Performing data analysis
  • Supporting decision-making across multiple departments
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This role is perfect for someone who understands data basics and wants to build a career in analytics and cloud-based BI tools.

Key Responsibilities

1. Data Management & Preparation

  • Extract and clean datasets using Amazon Redshift
  • Ensure accuracy, consistency, and data integrity
  • Support ETL and data workflows

2. Visualization & Reporting

  • Build dashboards using Amazon QuickSight
  • Improve interactivity and automate repeated reports
  • Track KPIs and business performance

3. Data Analysis

  • Perform exploratory data analysis (EDA)
  • Identify patterns and trends
  • Create data-backed insights for business teams

4. Collaboration

  • Work with teams from Product, Operations, and Engineering
  • Support sprint reviews and discussions
  • Coordinate with the Data Science Team Lead

5. Continuous Learning

  • Stay updated with AWS tools
  • Explore new BI techniques
  • Improve dashboard design and workflows

Skills & Qualifications

Essential Skills

  • Bachelor’s degree in CS / Statistics / Math / Analytics
  • Working knowledge of Amazon QuickSight
  • Understanding of Amazon Redshift (schemas, joins, queries)
  • Good command over SQL
  • Analytical thinking and good communication

Bonus Skills

  • Basic Python or R knowledge
  • AWS-related courses or projects

Preferred Certifications

  • AWS Certified Data Analytics
  • QuickSight Author Certification
  • AWS Cloud Practitioner

These certificates can give candidates a competitive advantage and increase job selection chances.

System & Work Requirements

Since this is a work-from-home job, candidates must have:

  • Minimum 25 Mbps stable internet
  • Backup mobile data
  • Quiet and professional workspace
  • Ability to work during US Eastern Time hours
  • Minimum i5 laptop, 16GB RAM, SSD (i7/32GB preferred)
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Why This Role is Great for Beginners

🔥 Apply Now – Junior Data Scientist

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This job is ideal for early-career professionals because:

You learn real-world data analytics
You work with cloud tools used by top companies
You get hands-on experience in dashboards & SQL
You can grow into Data Scientist, BI Analyst, or Data Engineer roles
Full-time remote flexibility
High learning opportunities in the healthcare analytics domain

Final Conclusion

The Junior Data Scientist – Work From Home role at ClinicMind is a strong opportunity for anyone starting a career in analytics. It offers cloud-based BI experience, collaboration with global teams, and the chance to learn modern technologies like Redshift and QuickSight.

If you want a role where you can learn fast, work remotely, and grow your data science skills—this job is a perfect match.

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