Company Description
At Experian Health, our employees can 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 Senior Data Scientist is responsible for driving development efforts, on Experian Health priority data science and machine learning initiatives.
- The incumbent will play a key role in new product development, that addresses critical healthcare challenges.
- A strong background in statistics, analyzing large data sets, implementing MLOps best practices, and designing validation experiments, to evaluate feasibility of projects, as well as healthcare revenue cycle industry experience, leading ML product development from project ideation through production is ideal, in this role.
Qualifications
- Degree(s) in Machine Learning, Data Science, Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, Applied Math or other quantitative fields
- 3+ years industry experience in data science and predictive modeling
- Knowledge of machine learning algorithms, statistical methods, and data mining techniques, with experience applying them to real-world problems
- Familiarity with MLOps practices and tools for model deployment, monitoring, and management in production environments (e.g., Docker, Kubernetes, MLflow, TensorFlow)
- Excellent problem-solving skills, critical thinking abilities, and a passion for innovation and continuous learning
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and influence decision-making
- Proven ability to work independently on development of models with extremely large and complex data structures
Desired expertise with:
- Strong understanding of healthcare concepts, terminologies, and data standards (e.g., claims/EHR data, ICD, CPT).
- 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
Culture at Experian
Our uniqueness is that we truly value yours.
Experian's culture, people, and environments are key differentiators. We take our people's agenda very seriously. We focus on what truly matters; diversity and inclusion, work/life balance, flexible work, development, engagement, collaboration, wellness, rewards & recognitions, volunteering... the list goes on!
Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.
Experian Careers - Creating a better tomorrow together
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