Role: Lead Data Scientist
Client: CoAction
Location: Houston, TX 77002
Job Type: Full-Time
Client- Candidate would get to know while being in the interview
Job Description:
About the Organization
Our organization is committed to delivering high-quality, efficient services while creating exceptional experiences for the communities we serve. We value innovation, collaboration, data-driven decision-making, and continuous improvement.
We are seeking an experienced Lead Data Scientist to provide advanced analytical expertise, lead complex data science initiatives, and deliver actionable insights that support strategic and operational decision-making.
Position Summary
The Lead Data Scientist will lead the analysis of complex and unstructured datasets using advanced statistical, analytical, and machine learning techniques.
This individual will provide in-depth data insights for complex business problems, lead cross-functional projects, develop predictive models and algorithms, and translate analytical findings into clear and actionable recommendations for technical and non-technical stakeholders.
The Lead Data Scientist will also provide technical guidance and mentorship to other data scientists and contribute to the development of data science capabilities across the organization.
Key Responsibilities
Lead high-priority and complex data science projects that have a significant organizational impact.
Analyze structured and unstructured datasets using advanced statistical and analytical techniques.
Develop custom data models, algorithms, and predictive solutions to address complex business problems.
Apply machine learning and statistical models to key business metrics and operational challenges.
Perform research, data analysis, modeling, data mining, visualization, and pattern analysis.
Develop and test hypotheses and communicate findings in a clear, precise, and actionable manner.
Maintain existing analytical models and evaluate model performance and goodness of fit.
Identify opportunities to improve operational efficiency, productivity, scalability, and business outcomes through data.
Work closely with cross-functional teams to identify, investigate, and resolve complex data issues.
Gather requirements and translate business needs into analytical solutions.
Provide technical leadership, coaching, and mentoring to other data scientists.
Train broader teams on data science methodologies, tools, and developments.
Assist in evaluating data science vendors, technologies, platforms, and tools.
Lead multiple projects simultaneously while managing competing priorities and deadlines.
Troubleshoot complex analytical and data-related issues and recommend appropriate solutions.
Support strategic and operational decision-making through advanced data insights.
Perform other duties and projects as assigned.
Desired Skill Set
Advanced data science and analytics
Machine learning and predictive modeling
Advanced statistical analysis
SQL and database management
Data mining and data visualization
Structured and unstructured data analysis
Statistical modeling and hypothesis testing
Time-series forecasting
Regression analysis
Clustering and classification
A/B testing
Data storytelling and visualization
Business and technical requirements gathering
Project leadership and management
Cross-functional collaboration
Technical mentoring and team leadership
Problem-solving and analytical reasoning
Executive and stakeholder communication
Minimum Qualifications
Education
Bachelor's degree in Science, Engineering, Computer Science, Mathematics, Statistics, or a related STEM field required.
Master's degree in Data Science preferred.
Licenses/Certifications
Experience, Knowledge & Skills
Minimum 7 years of professional experience in Data Science.
Experience in a hospital, healthcare, medical informatics, healthcare information technology, healthcare finance/revenue cycle, or Electronic Health Record (EHR) data environment is preferred.
Strong business analytical skills, including process analysis, modeling, spreadsheets, and workflow analysis.
Strong technical, mathematical, and analytical capabilities.
Deep understanding of machine learning techniques, including:
Advanced knowledge of statistical concepts and techniques, including:
Advanced understanding of the data science project lifecycle.
Strong programming skills and experience with statistical analysis tools.
Advanced knowledge of SQL and database management.
Experience researching and resolving data issues involving large, complex, and incomplete datasets.
Exceptional analytical and problem-solving skills.
Ability to interpret and communicate complex analytical results.
Strong project management skills and ability to independently manage multiple projects.
Strong written and verbal communication skills with the ability to communicate effectively with technical and non-technical audiences.
Ability to work with minimal supervision in a fast-paced, multidisciplinary environment.
Strong customer-service orientation and commitment to producing high-quality analytical work.
Ability to manage challenging stakeholder situations and provide effective solutions.
Preferred Healthcare Experience
Candidates with experience working with the following are highly desirable:
Hospital or healthcare data
Electronic Health Records (EHR)
Healthcare IT
Medical informatics
Healthcare finance
Revenue cycle data
Clinical or operational healthcare analytics
Ideal Candidate Profile
The ideal candidate will be a senior-level data scientist with 7+ years of hands-on data science experience and strong expertise in advanced analytics, machine learning, statistical modeling, SQL, and predictive modeling.
Candidates who have combined technical data science expertise with healthcare or hospital data experience are especially desirable.
The successful candidate should be comfortable leading complex projects, mentoring other data scientists, working with large and incomplete datasets, and translating sophisticated analytical findings into practical business recommendations.
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