Brief Description of position:

ABOUT EPISOURCE: 

Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, and analytics to enable better documentation of care for patients with chronic diseases. 

The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? Our analytics platforms and data lakes ingest huge quantities of data daily, to help our clients deliver services. We have also built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflow. Combined, these build a foundation of tools and practices used by quantitative staff across the company. 

We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve. 

Process Excellence Team (PET), Chennai: 

ABOUT THE ROLE 

The Data science team at PET is tasked with delivering value to business units within Episource through data-driven predictions, automations and decision making. The responsibilities will include developing analytical models, collaborating with different stakeholders & other partners and working across a range of technologies and tools. 

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals. 

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

Data Analyst: 

You will be a great fit if you tick the following; 

1. Strong quantitative and communication skills.
2. Hands-on expertise in python, pandas, spark, NumPy, SQL and scientific computing modules is a must.
3. Experience in Data Analysis, visualization on big data.
4. Knowledge of working with AWS tools and technologies is a plus.

During the course of a typical day with our team, expect to work on one or more projects around the following: 

1. Review, analyze, and visualize large amounts of data.
2. Responsible for building,managing, maintaining Enterprise Data Lake.
3. Analyze large volumes of data to come up with infographics to help CXOs make decisions.
4. Statistical analysis to drive improvements in operations.
5. Develop solutions to automate data pipelines scale business outcomes
6. Work closely with internal business, engineering, data science teams. 
7. Big data with PySpark, and more ! 

Eligibility: 

1. Education: Bachelors or Masters in a field - Computer Science, ECE, Engineering, Statistics, Math, Economics, Data Science, Machine Learning, other related fields.
2. CGPA: 6.0/10 and above

Location

Chennai

Minimum Qualification:

Graduate