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Junior Data Scientist
About the Company
ClinicMind is a prominent healthcare SaaS provider that empowers medical practices to enhance their financial performance, foster sustainable growth, and elevate patient care. Through integrated solutions for Electronic Health Records (EHR), Revenue Cycle Management (RCM), and Patient Engagement automation, complemented by exceptional service, ClinicMind aims to optimize patient outcomes and maximize revenue cycle efficiency.
Job Description
ClinicMind is seeking a Junior Data Scientist to join their Data Science team. This entry-level position is ideal for an individual with a passion for analytics, cloud-based data tools, and contributing to data-driven business decisions. The role involves supporting the team in analyzing data, creating visual insights, and maintaining efficient data workflows using Amazon QuickSight and Amazon Redshift. The position is fully remote, based in Bengaluru, Karnataka, India, with a Beta status and full-time commitment. The candidate will be expected to work during US Eastern Time business hours.
| Company Name | ClinicMind |
|---|---|
| Role | Junior Data Scientist |
| Location | Bengaluru, Karnataka, India |
| Salary | |
| Job Type | Full-time |
Responsibilities
- Extract, clean, and manage datasets within Amazon Redshift and related AWS data sources.
- Ensure data quality, consistency, and completeness for downstream analytics.
- Build and maintain Amazon QuickSight dashboards to communicate trends, KPIs, and actionable insights.
- Automate recurring reporting workflows and enhance dashboard interactivity.
- Conduct exploratory data analysis (EDA) to uncover trends and patterns.
- Support business teams by generating ad-hoc analyses and presenting insights clearly.
- Work closely with the Data Science Team Lead and cross-functional teams (Operations, Product, and Engineering).
- Participate in sprint reviews, data validation, and stakeholder discussions.
- Stay up to date on AWS analytics services, BI tools, and data visualization best practices.
- Contribute new ideas for improving efficiency, visualization design, and automation.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Analytics, or a related field.
- Hands-on experience with Amazon QuickSight for dashboarding and reporting.
- Understanding of Amazon Redshift (queries, schemas, joins, and data pipelines).
- Knowledge of SQL for data extraction and transformation.
- Basic exposure to Python or R (optional but desirable).
- Strong analytical mindset and attention to detail.
- Good communication and presentation skills.
Skills
ATS Keywords
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Frequently Asked Questions
A stable internet connection of at least 25 MBPS is required, along with a mobile data plan as a backup. A quiet work environment is also necessary.
Candidates must be comfortable working the US Eastern Time business hours.
The minimum system requirement is a latest i5 processor with an SSD hard disk (i7 preferred) and 16 GB of RAM (32 GB preferred).
Basic exposure to Python or R is optional but considered desirable.
Preferred certifications include AWS Certified Data Analytics, Amazon QuickSight Author Certification, and AWS Cloud Practitioner or Practitioner Essentials.
Other Information
Must have a stable internet connection minimum of 25 MBPS. Must have a mobile data plan as a backup. Must be in a quiet environment / work from home set-up. Must be comfortable working the US Eastern Time business hours. Minimum system requirement: Latest i5 with SSD hard disk (i7 preferred), 16 GB RAM (32 GB preferred).
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How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
- Fill Out the Application: On the official website, fill out the application form with the provided information.
- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.
