Senior Developer Lead, Innovation -Tech Considerations/Architectural Design - Experian Health (This role is remote, from anywhere in the U.S.!)

Company Description

At Experian Health, our employees have the opportunity to shape more than products – they shape the future of U.S. healthcare. Experian Health is a pioneer for innovations leading the way in revenue cycle management, identity management, patient engagement, and care management for hospitals, physician groups, labs, pharmacies and other risk-bearing entities. Our success relies on people who are given the freedom to imagine new frontiers in the rapidly changing healthcare space and push the boundaries of innovation. Help us realize our vision of applying data for good and changing the healthcare landscape for the better – for all of us.

Our mission is to use data driven insights to simplify healthcare for all. Simply put, we want to make the healthcare system work better for us as consumers and for those who work in healthcare. Our ONE Experian Health culture is the centerpiece of making this happen. Our aspiration is to bring people together who are driven by purpose and want to make a difference.  We strive to have a diverse group of people and minds who are:

• OPEN: Have a growth mindset and collaborate often with others to make things happen
• NIMBLE:  Always embracing change and pushing the envelope on innovative ways to solve problems
• EFFECTIVE:  Accountable to themselves and to others

Job Description

The Innovation Development Lead  is responsible for driving development efforts, on priority initiatives, being researched by the innovation team.

This incumbent will lead development resources, as well as influence other development teams, to identify level-of-effort to build tests for early-stage innovation initiatives, define and drive execution of proof-of-concept (POC) tests, to validate key assumptions, and create development plans for Alpha- and Beta-grade market engagements

• Initiatives will vary in nature from small visualization and limited prototypes, to full Minimum Viable Product (MVP) launches, with paying Beta engagements
• The incumbent will be responsible for clearly articulating the technical investment needed, and limitations associated with Beta projects, as projects are handed off to supporting product teams to scale, which includes aligning efforts of developers and supporting the efforts of the scrum leader

Qualifications

• Degree(s) in Machine Learning, Data Science, AI, Computer Science, Computer Engineering, Electrical Engineering, Physics, Statistics, Applied Math or other quantitative fields
• 2-5 years of experience in data science, data visualization, and/or predictive modeling
• Demonstrated ability to lead and execute projects from start to finish
• Ability to independently support existing products
• Proven track record in modifying and applying advanced algorithms to address practical problems
• Experience in regression analysis, machine learning (SVM, GLM, boosting, random forest, etc.), graph models, and/or reinforcement learning.
• Expertise with open source tools for deep learning and machine learning technology such as Keras, tensorflow, pytorch, scikit-learn, pandas, etc.
• Proven ability to work independently on development of models with extremely large and complex data structures
• Proficient in more than one of Python, R, Java, C++, SQL or C
• Robust knowledge and experience with statistical methods
• Expertise in relational databases, data warehousing, data storage principles for handling big data
• Understands software development principles and operations
• Demonstrated ability to communicate ideas and engineering results effectively both verbally and in writing to technical and non-technical audiences
• A proven track record for executing complex data extraction and ETL projects

Desired expertise with:

• Hadoop related technologies such as Map Reduce, Spark, Hive, HBase, etc.
• Visualization tools such as Tableau, Qlik, etc.
• Natural Language Processing, Natural Language Understanding, and the relevant open-source tools
• Bayesian statistical inference and related machine learning methods
• Agile methods for software development

Additional Information

Experian is an Equal Opportunity Employer. Anyone needing accommodation to complete the interview process should notify the talent acquisition partner. The word "Experian" is a registered trademark in the EU and other countries and is owned by Experian Ltd. and/or its associated companies.
EOE including Disability/Veterans.

Our compensation reflects the cost of labor across several U.S. geographic mark