Data Science Manager

2 weeks ago

Bengaluru, Karnataka, India RapidClaims Full time

About RapidClaims:

RapidClaims is a leader in AI-driven revenue cycle management , transforming medical

coding and revenue operations with cutting-edge technology.

The company has raised $11 million in total funding from top investors, including Accel

and Together Fund .

Join us as we scale a cloud-native platform that runs transformer-based Large Language

Models rigorously fine-tuned on millions of clinical notes and claims every month. You'll

engineer autonomous coding pipelines that parse ICD-10-CM, CPT and HCPCS at

lightning speed, deliver reimbursement insights with sub-second latency and

>99 %

accuracy, and tackle the deep-domain challenges that make clinical AI one of the

hardest—and most rewarding—problems in tech.

Data Science Manager - Job Overview:

We are looking for a Data Science Manager who can lead the design and delivery of

scalable, data-driven backend systems while effectively managing cross-functional teams

and engaging with clients. This role combines technical leadership, project delivery, and

people management—ideal for someone who thrives at the intersection of code,

communication, and execution.

Key Responsibilities:

Technical Leadership & Data Architecture:

Work closely with Data Science teams to embed AI models and analytical capabilities

into core applications.

Lead end-to-end sprint cycles, including sprint planning, task allocation, daily

standups, and retrospectives.

Track team performance and delivery timelines, using tools like JIRA, Trello, or

Asana to monitor progress.

Serve as the primary technical point of contact for clients—gathering requirements,

clarifying expectations, and presenting deliverables.

Translate client needs into actionable engineering goals while ensuring customer

satisfaction.

Manage a team of data scientists and analysts—offering coaching, feedback, and

mentorship to support career growth.

Foster a collaborative team culture that values transparency, ownership, and

continuous improvement.

Ensure that the team follows clean coding principles, test-driven development, and

proper documentation.

Conduct and guide peer code reviews to maintain high engineering standards.

Stay ahead of trends in AI/ML to keep our solutions cutting-edge and future-ready.

Preferred Skills:

Strong experience with backend technologies (e.g., PyTorch, Numpy, Pandas,

Python, REST APIs)

Exposure to data pipelines, analytics tools, or integrating AI/ML models

Familiarity with cloud platforms (AWS/GCP/Azure)

Project management experience (Agile, Scrum)

Excellent written and verbal communication skills

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