84 applicants
Zelis · 3 days ago
Director, Data Science
Morristown, NJ
Full-time
Onsite
Director
10+ years exp
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Responsibilities
Experience in identifying and resolving complex technical and operational problems within data science department.
Experience in implementation of GenAI use cases in healthcare industry.
Ability to understand business requirements and communicate modeling results to the top business leaders, executives, and non-technical audience in a meaningful way.
Must be a *people person*, demonstrating an ability to form strong and meaningful connections with team members, product owners, business stakeholders and cross functional teams.
Be a hands-on individual contributor for critical projects when required in handling modeling techniques and interpretation of results.
Experience in analyzing and manipulating large, complex, high-dimensional data from numerous sources and building ML/AI predictive models by understanding the data science life cycle.
Experience in handling unstructured data and utilizing to derive insights using ML algorithms.
Demonstrated experience in statistical modeling techniques such as NLP, linear regression, logistic regression, cluster analysis, feature reduction, LLM, Autoencoders, transformers, outlier detection methodologies, deep learning algorithms, Gen AI algorithms etc.
Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner.
Experience in working with data science engineers in extraction of the data required for the modeling, understanding the data, handling data quality issues and model monitoring.
Experience in working with MLOps team to productionalize the algorithms and test the model output.
Required to work with offshore team members (Mornings EST), in leading the projects, acting as a SME in driving the algorithm development as per the business use case and finalizing the models with high quality and validation.
Qualification
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Required
Experience in identifying and resolving complex technical and operational problems within data science department.
Experience in implementation of GenAI use cases in healthcare industry.
Ability to understand business requirements and communicate modeling results to the top business leaders, executives, and non-technical audience in a meaningful way.
Must be a *people person*, demonstrating an ability to form strong and meaningful connections with team members, product owners, business stakeholders and cross functional teams.
Be a hands-on individual contributor for critical projects when required in handling modeling techniques and interpretation of results.
Experience in analyzing and manipulating large, complex, high-dimensional data from numerous sources and building ML/AI predictive models by understanding the data science life cycle.
Experience in handling unstructured data and utilizing to derive insights using ML algorithms.
Demonstrated experience in statistical modeling techniques such as NLP, linear regression, logistic regression, cluster analysis, feature reduction, LLM, Autoencoders, transformers, outlier detection methodologies, deep learning algorithms, Gen AI algorithms etc.
Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner.
Experience in working with data science engineers in extraction of the data required for the modeling, understanding the data, handling data quality issues and model monitoring.
Experience in working with MLOps team to productionalize the algorithms and test the model output.
Required to work with offshore team members (Mornings EST), in leading the projects, acting as a SME in driving the algorithm development as per the business use case and finalizing the models with high quality and validation.
Preferred
Master’s or Doctorate degree in data science/machine learning/statistics/computer science or equivalent with a background in statistics
10+ years of relevant work experience including statistical modeling and data mining using large and complex datasets, mostly on healthcare data
5+ years of management experience, in managing data scientists.
Health care experience
AWS/Azure cloud experience in implementing data science models
Gen AI experience
Proficient in Python
Benefits
Hybrid and remote friendly culture
Company
Zelis
Zelis is modernizing the healthcare financial experience for all.
1,001-5,000 employees
Funding
Current Stage
Late StageTotal Funding
$20.15M2020-01-05Private Equity· $20.15M
2019-01-01Private Equity· Undisclosed
Leadership Team
Brian Gladden
Chief Financial Officer
Brendan M. Kerrigan
Vice President of Client Success
Recent News
Business Wire
2024-05-20
Company data provided by crunchbase
