Data Science Manager

Company Overview:

ZignaAI is focused on delivering innovative solutions that transform healthcare payment operational processes. We empower payers, providers and patients with AI powered software solution(s) that drive transparency in healthcare payment services. Built-in intelligence enabled machine learning algorithms deliver pre-billing payment accuracy solutions and avoid provider abrasion. We differ from traditional payment services solutions by resolving issues at root by ensuring accurate payments, automating processes, with nudges delivered to billing coders. Our innovative and scalable solutions cover Medicaid, Medicare and Commercial policies and deliver results in weeks.

Opportunity Overview:

Full-time position, in-office. This position will require the candidate to engage in critical thinking skills, be intellectually curious, and demonstrate great attention to detail. Requires excellent communications skills both written and oral. Must possess the ability to work with a diverse group of talent both in-person and globally. This is a hands-on manager role, that requires the manager to engage in the work of the team being managed.

Job Summary:

We are seeking a highly skilled and technically sound Data Science Team Manager to lead and drive our data science initiatives. This is a hands-on leadership role, ideal for someone with strong experience in designing and architecting data solutions, streamlining workflows, and directly contributing to team deliverables. This is not a traditional people management role — instead, we're looking for a technologically proficient leader who thrives on building solutions, mentoring others, and aligning data strategies with business goals.

Technical Skills:

Hands-on experience building and architecting end-to-end NLP, data science and machine learning solutions using tools such as Python, SQL, and AWS services including EC2, Lambda, Glue, SNS, SQS, Sagemaker, EMR, and Athena. Adapt leveraging these technologies to design scalable, production-ready pipelines and intelligent systems. Ability to Architect the design and deployment of scalable, production-ready machine learning pipelines and intelligent systems.

Required Qualifications:

• 7+ years of professional experience in data science, machine learning, data engineering, or related technical discipline.
• Proven experience in managing or leading technical teams, with a strong emphasis on mentoring and delivery.
• Lead by example as a hands-on manager, actively engaging in coding, solution design, and problem-solving alongside the team.
• Demonstrated experience in designing and implementing complex data architectures and pipelines.
• Partner with senior leadership to define the organization's data strategy and ensure alignment with business objectives.
• Develop and enforce data governance frameworks, policies, and procedures to ensure data quality, compliance, and risk mitigation.
• Streamline workflows and optimize processes to improve the efficiency, quality, and output of the data science team.
• Actively mentor and upskill team members, providing knowledge transfer and support for continuous learning and development.
• Foster cross-functional collaboration by working closely with engineering, product, analytics, and business teams to ensure data solutions are aligned with organizational goals and integrated seamlessly across platforms.
• Drive a culture of responsibility, ownership, and accountability within the team.
• Balance multiple concurrent projects while ensuring high-quality outcomes and timely delivery.
• Maintain a deep understanding of current technologies and industry best practices to ensure the team remains innovative and competitive.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Solid understanding of Object-Oriented Programming (OOP) principles with experience in writing clean, modular, and reusable code for scalable data science applications.
• Proficient in Git for version control, including branching strategies, pull requests, and collaborative code reviews.
• Hands-on experience using JIRA (or similar tools) for sprint planning, task tracking, and agile workflow management.
• Strong verbal and written communication skills; capable of interacting effectively with both technical and non-technical stakeholders.
• Self-motivated, proactive, and driven, with a strong sense of ownership and accountability.

Good to Have

• Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical    Comprehend for Clinical Named Entity Recognition (NER).
• Strong Leadership Skills.
• Deployment of custom trained and prebuilt NER models using AWS Sagemaker.
• Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2.
• Should have Intellectual curiosity to learn new things.
• ISMS responsibilities should be followed as per company policy.

Job Types: Full-time, Permanent

Pay: ₹2,000, ₹2,500,000.00 per year

Benefits:

• Food provided
• Health insurance
• Provident Fund

Experience:

• data science, machine learning, data engineering: 7 years (Required)
• managing or leading technical teams: 5 years (Required)

Work Location: In person