Cotiviti - Senior Data Scientist

Note : If shortlisted, you will be invited for initial rounds on 8th November'25 (Saturday) in Hyderabad

Description :

Senior Software Engineer (Sr Data Scientist), AI ,Digital Process Automation.

Cotiviti is looking for an industry leading Senior Software Engineer, focused on data engineering & machine learning solutions, to join a revolution in Healthcare Technology and build value-oriented, production level solutions. Data scientists build systems that collect, manage, and convert raw data into usable information. This role supports a team, who apply their knowledge and experience to real world problems and utilize Artificial Intelligence and Machine Learning to reduce the cost of healthcare and improve quality and outcomes. Cotivitis AI team consists of data scientists, engineers and developers dedicated to developing solutions to maintain Cotivitis intellectual property. The team can work with a vast amount of structured and unstructured data including rules and various documents to identify the healthcare industry updates and that helps to maintain proprietary rules engines. As a Software Engineer at Cotiviti you will be working on dynamic team to solve various challenges, learn & experiment with different tools & approaches until you find a solution. This is for an ambitious technologist with the guts, flexibility, and personal drive to succeed in a dynamic environment where you are judged based on your impact on business outcomes.

Basic Qualifications :

- Bachelors or masters degree in computer science, Artificial Intelligence

- 6 years experience of development side including at least 4 years AI/ML solutions.

- Strong development skills on LLM with knowledge on RAG, VectorDB, Embedding, Indexing, finetuning & validation

- Expertise using frameworks like HuggingFace, LlamaIndex.

- Strong programming skills in languages such as Python, Scala/Spark, machine learning frameworks such as TensorFlow, Keras, or PyTorch.

- Extensive background in data mining and statistical analysis/predictive analytics.

- Ability to solve problems with analytical thinking and the ability to conceptualize, design, and build models from scratch. Hands on experience in defining and designing the models for predictive analytics based on business requirements.

- Ability to work independently & in a team with a high level of quality.

- Should have good experience with different data sources and databases like Oracle, MS SQL Server.

- Should have experience in Big Data technologies to support the model execution in production.

- Should be able to support during application development and production deployment.

- Must be a team player with the ability to manage multiple tasks in a deadline driven environment.

- Excellent understanding in Agile, SDLC.

- Strong analytical and problem-solving skills.

- Knowledge of JIRA and Confluence.

- Knowledge of CI/CD pipelines for production deployment of models. Hands on experience with ML Ops is an added advantage.

- Knowledge in Healthcare

Job Responsibilities :

As a Senior Software Engineer in the AI team within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team but be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your solutions to be incorporated into existing AI initiatives.

- Work with a Software Technical lead, TPO and other programmers.

- Self-Motivated and take ownership of your work

- Collaborate and exhibit team spirit.

- Participate in Design & Grooming sessions, build models, crafting useful features from text data for model training.

- We embed libraries or full solutions in our platform, and you are expected to be able to understand their capabilities and limitations and be able to implement and support them.

- Document your work to allow other software engineers to collaborate with you on this work.

- Participate in other software engineering teams collaborating with your peers to support their projects, mentor juniors in the team.

- Participate in knowledge sharing sessions to bring new insights and technologies to the team.

- Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.

Who You Are :

- Curious : Never satisfied until to understand all angles of a problem you do not like to leave questions unanswered and are ready to pull on threads to seek out bigger opportunities.

- Creative : You constantly invent and try new approaches to solving problems, which often times have never been applied in such contexts before.

- Practical : You explore theories with an eye to the real-world application to the business and the potential for improving performance for clients and customers. That means you are ready to walk away from opportunities that are not going anywhere or will not deliver the required value.

- Focused : You're intent on designing and testing a technique over periods of days and weeks, discovering what is successful and what should be optimized further. You start with a value-oriented goal and you do not get side-tracked by technical shiny objects that do not achieve that goal. At Cotiviti, value delivered is considered more important than effort expended.

- Determined : You will have both the challenge and opportunity to help design and build our machine learning capabilities from the ground-up, and therefore must be comfortable as both a team member and a leader in our machine learning effort.

Required Skills :

- Big Data Analysis : Strong ability to manage and analyze data in a Hadoop environment using a variety of scripts, including R, Python, and others.

- Reasoning and Problem Solving : Ability to conceptualize, apply, analyze, synthesize, and/or evaluate information gathered from, or generated by, observation, experience, reflection, reasoning, or communication, as a guide to belief and action actively and skillfully.

- Consulting : Demonstrated ability to make and gain acceptance of data-driven recommendations made to business owners. Strong ability to appropriately summarize and effectively communicate complex concepts & varied data sets to inform stakeholders, gain approval, or prompt actions; Applies to multiple audiences ranging from the analyst to executive level; Includes oral & written communication and multimedia presentation.

- Business Knowledge : Understanding of the tenets of health insurance, the managed care model, industry coding/policy standards, the claim adjudication process, and issues related to fraud waste and abuse; Ability to apply this knowledge to the development & evaluation of new solutions.

Understanding Machine Learning : Knowledge of a variety of machine learning techniques and systems. Implementation of machine learning solutions within production environments at scale will be beneficial.

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