Auditor

Key Responsibilities:

• Email Campaign Strategy: Design and execute end-to-end email marketing campaigns, from planning and segmentation to content creation and performance tracking.
• Content Creation: Collaborate with the creative and content teams to design eye-catching and persuasive email templates, copy, and visuals that align with the campaign objectives and client branding.
• List Management & Segmentation: Manage and segment email lists for targeted outreach based on demographics, behaviors, and previous engagements.
• Campaign Analysis & Optimization: Monitor campaign performance, analyze key metrics (open rates, click-through rates, conversion rates), and adjust strategies to improve results.
• A/B Testing: Conduct A/B testing on various email elements (subject lines, calls-to-action, design) to optimize performance and enhance the effectiveness of campaigns.
• Email Automation: Set up and manage email automation workflows, ensuring timely and relevant communication with prospects and customers.
• Compliance & Best Practices: Ensure all emails comply with industry standards, including GDPR and CAN-SPAM regulations, and adhere to email marketing best practices.
• Reporting & Insights: Prepare detailed performance reports for internal and client review, providing actionable insights for future campaigns.
• Collaboration: Work cross-functionally with design, sales, and content teams to ensure cohesive campaigns and marketing strategies.

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, 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 datalakes 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.

What’s our poison you ask? 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.

ABOUT THE ROLE:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations, clinical named entity recognition, improving patient health, clinical suspecting and information extraction from clinical notes.

This is a role for highly technical 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 data-driven architectures 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.

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

1. Create and maintain optimal data pipeline architectures for ML

2. Develop a strong API ecosystem for ML pipelines

3. Building CI/CD pipelines for ML deployments using Github Actions, Travis, Terraform and Ansible

4. Responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems

5. Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations  

6. Deploying data pipelines in production using Infrastructure-as-a-Code platforms

7. Designing scalable implementations of the models developed by our Data Science teams  

8. Big data and distributed ML with PySpark on AWS EMR, and more!

BASIC REQUIREMENTS 

1.  Bachelor’s degree or greater in Computer Science, IT or related fields
   
   

2.  Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
   
   

3. Strong experience with bash scripting, unix environments and building scalable/distributed systems
   
   

4. Experience with automation/configuration management using Ansible, Terraform, or equivalent
   
   

5. Very strong experience with AWS and Python
   
   

6. Experience building CI/CD systems
   
   

7. Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent

8. Ability to build and manage application and performance monitoring processes

Technology: node js, DynamoDB / Mongo DB

Roles:

• Design & implement Backend Services.
• Able to redesign the architecture.
• Designing & implementation of application in MVC & Microservice.
• 9+ years of experience developing service-based applications using Node.js.
• Expert-level skills in developing web applications using JavaScript, CSS and HTML5.
• Experience working on teams that practice BDD (Business Driven Development).
• Understanding of micro-service architecture and RESTful API integration patterns.
• Experience using Node.js for automation and leveraging NPM for package management
• Solid Object-Oriented design experience, and creating and leveraging design patterns.
• Experience working in a DevOps/Continuous Delivery environment and associated toolsets (i.e. Jenkins, Puppet etc.)
  
  
  

Desired/Preferred Qualifications:

1. Bachelor's degree or equivalent experience
2. Strong problem solving and conceptual thinking abilities
3. Desire to work in a collaborative, fast-paced, start-up like environment
4. Experience leveraging node.js frameworks such as Express.
5. Experience with distributed source control management, i.e. Git