About this opportunity
Intepros lists this Senior Data Scientist opportunity in houston, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Overview
IntePros is seeking an experienced Senior Data Scientist to join a large, complex organization and lead advanced analytics initiatives that support data-driven business and operational decision-making. This role will work with large, complex, and often unstructured data sets to identify trends, develop predictive models, test hypotheses, and translate analytical findings into meaningful business insights. The Senior Data Scientist will partner closely with business leaders, technical teams, and other stakeholders to understand complex problems and communicate findings to audiences ranging from technical teams through senior executive leadership. The ideal candidate brings a strong combination of data science, advanced statistics, machine learning, SQL, business analytics, and executive-level communication skills. Experience working with healthcare, hospital, EHR, medical informatics, revenue cycle, or other healthcare-related data is highly preferred.
Key Responsibilities
Lead high-priority data science and advanced analytics initiatives with organization-wide impact.
Analyze large, complex, structured, and unstructured data sets to identify trends, patterns, relationships, and actionable insights.
Develop custom data models, algorithms, and analytical approaches to address complex business questions.
Build and apply predictive models and advanced statistical techniques to key business and operational metrics.
Perform research, statistical analysis, modeling, data mining, visualization, and pattern analysis.
Develop and test hypotheses and communicate findings in a clear, concise, and actionable manner.
Translate complex analytical findings into meaningful business insights for stakeholders and senior leadership.
Develop, maintain, and evaluate statistical and machine learning models, including assessment of model performance and goodness of fit.
Partner with cross-functional teams to identify and resolve data quality, availability, and scalability challenges.
Gather business requirements and determine the appropriate analytical approach for solving complex problems.
Present findings and recommendations to stakeholders ranging from technical teams to senior and executive leadership.
Provide technical leadership and mentorship to other data scientists and contribute to the development of data science capabilities across the organization.
Manage multiple projects and priorities while maintaining high standards for quality, accuracy, and delivery.
Assist in evaluating data science technologies, vendors, platforms, and analytical tools.
Identify opportunities to improve the efficiency, productivity, and scalability of data and analytics processes.
Required Qualifications
Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Science, or another related STEM discipline.
7+ years of professional data science experience.
Strong experience analyzing large, complex, and incomplete data sets.
Advanced knowledge of statistical methods and techniques, including:
Linear and logistic regression
Time series forecasting
A/B testing
Statistical hypothesis testing
Clustering
Distribution analysis
Strong understanding of machine learning techniques such as clustering, decision trees, neural networks, and predictive modeling, including the advantages and limitations of different approaches.
Advanced SQL skills and experience working with relational databases and large data sets.
Strong programming skills using languages and tools commonly associated with data science and statistical analysis.
Demonstrated experience developing data models, algorithms, and analytical solutions.
Strong understanding of the full data science project lifecycle.
Ability to take complex data and translate it into meaningful business information and actionable recommendations.
Strong analytical reasoning, troubleshooting, and problem-solving skills.
Experience gathering requirements and partnering directly with business stakeholders.
Excellent written and verbal communication skills.
Comfortable presenting complex analytical findings to senior and executive-level leadership.
Ability to communicate effectively with both technical and non-technical audiences.
Strong project management skills with the ability to independently manage multiple priorities and deadlines.
Ability to operate effectively with minimal supervision in a fast-paced, multidisciplinary environment.
Preferred Qualifications
Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Previous data science experience within a hospital, healthcare, or clinical environment.
Experience working with:
Electronic Health Record (EHR) data
Medical informatics
Healthcare information technology
Healthcare finance or revenue cycle data
Clinical or operational healthcare data
Experience mentoring or providing technical leadership to other data scientists.
What Will Make Someone Successful in This Role
This position requires more than someone who can build models or write SQL. The successful candidate will be able look at complex data, determine what it means to the business, and tell the story behind the data to senior decision-makers.
Candidates should bring a highly analytical mindset while also being comfortable operating in a consultative, stakeholder-facing capacity. Strong presentation skills and the ability to simplify complex technical concepts for executive audiences will be critical.
Interview Process
The Anticipated Interview Process Includes
Initial interview
Technical interview
Presentation to leadership
Senior leadership interview
IntePros is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
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Worksite address
houston, TX, 77246, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.