Data Scientist Team Lead Job in Zignaai

Data Scientist Team Lead

1 Position

India - Hyderabad

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 solutions 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 the 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:

This is a great opportunity for an aspiring data scientist to join a healthcare analytics company and deliver meaningful outcomes that reduce the cost of care. Candidates will work closely with data science leadership, operations, and engineering to build intelligence in the system. This will involve constant learning and application to solve business problems. This position will require the candidate to be an out-of-the-box thinker, intellectually curious, and with great attention to detail. This role offers the potential to grow at Zigna in data science and gain strong domain knowledge. We are committed to developing and nurturing talent at ZignaAI.

Minimum Qualifications:

We are a startup and expect each team member to wear multiple hats, take initiative, and spot and solve problems.

• 3+ years experience as a hands-on Data scientist

• 3+ years of experience handling large and complex datasets

• Should be able to manage team

• Should be able to manage 3 to 4 projects simultaneously

• Strong mathematical background

• Expert in Python, with knowledge of at least one Python web framework

• Able to integrate multiple data sources and databases into one system

• Experience with cloud-based services and enterprise software environments.

• Strong problem solving, attention to detail, and data-driven decision-making skills