Lead Data Scientist
Location: Houston Texas (Hybrid)
Overview
We are seeking a highly experienced Lead Data Scientist to drive complex high-impact analytics initiatives within a large-scale data-rich environment. This role sits at the intersection of advanced analytics business strategy and technical leadershipworking with senior stakeholders to translate data into meaningful actionable outcomes.
You will take ownership of end-to-end data science projects mentor junior team members and play a key role in shaping how data is leveraged to improve operational performance and strategic decision-making.
Key Responsibilities
- Lead and deliver complex data science projects that directly influence business outcomes
- Design build and deploy advanced models and algorithms across large structured and unstructured datasets
- Translate analytical findings into clear actionable insights for senior stakeholders (including executive leadership)
- Partner cross-functionally to define business problems gather requirements and deliver data-driven solutions
- Develop and maintain predictive models ensuring accuracy scalability and ongoing optimisation
- Apply advanced statistical methods machine learning techniques and data mining approaches to solve real-world challenges
- Mentor and guide junior data scientists contributing to overall team capability and development
- Identify data quality issues and implement robust solutions across complex data environments
- Evaluate and recommend tools technologies and external vendors to enhance analytics capabilities
- Drive best practices across the full data science lifecyclefrom discovery through deployment
Required Experience & Skills
- 7 years of experience in data science or advanced analytics roles
- Proven track record leading projects and influencing senior stakeholders
- Strong expertise in machine learning techniques (e.g. clustering decision trees neural networks)
- Deep understanding of statistical modelling including regression hypothesis testing and predictive analytics
- Advanced SQL skills and experience working with large-scale data systems
- Strong programming capabilities (Python R or similar)
- Experience building and managing complex datasets
- Ability to communicate complex concepts clearly to both technical and non-technical audiences
- Demonstrated experience presenting insights to senior or executive-level stakeholders
- Strong problem-solving mindset with the ability to work independently in fast-paced environments
Preferred Background
- Experience working with healthcare clinical or EHR-related data environments
- Familiarity with healthcare data platforms and tools (e.g. Cogito or similar)
- Cloud experience ideally with AWS (certification strongly preferred)
- Exposure to data in operational financial or revenue cycle environments
Education
- Bachelors degree in a STEM-related field (Computer Science Engineering Mathematics Statistics etc.) required
- Masters degree in Data Science or a related discipline is advantageous
What This Role Offers
- Ownership of high-visibility business-critical analytics initiatives
- Opportunity to influence decision-making at senior leadership level
- Leadership exposure with mentoring and team development responsibilities
- A collaborative data-driven environment with strong investment in analytics capability
- Flexible working arrangements with a balance of remote and on-site collaboration
Apply Now.
Conenct with me here
Lead Data Scientist Location: Houston Texas (Hybrid) Overview We are seeking a highly experienced Lead Data Scientist to drive complex high-impact analytics initiatives within a large-scale data-rich environment. This role sits at the intersection of advanced analytics business strategy and technic...
Lead Data Scientist
Location: Houston Texas (Hybrid)
Overview
We are seeking a highly experienced Lead Data Scientist to drive complex high-impact analytics initiatives within a large-scale data-rich environment. This role sits at the intersection of advanced analytics business strategy and technical leadershipworking with senior stakeholders to translate data into meaningful actionable outcomes.
You will take ownership of end-to-end data science projects mentor junior team members and play a key role in shaping how data is leveraged to improve operational performance and strategic decision-making.
Key Responsibilities
- Lead and deliver complex data science projects that directly influence business outcomes
- Design build and deploy advanced models and algorithms across large structured and unstructured datasets
- Translate analytical findings into clear actionable insights for senior stakeholders (including executive leadership)
- Partner cross-functionally to define business problems gather requirements and deliver data-driven solutions
- Develop and maintain predictive models ensuring accuracy scalability and ongoing optimisation
- Apply advanced statistical methods machine learning techniques and data mining approaches to solve real-world challenges
- Mentor and guide junior data scientists contributing to overall team capability and development
- Identify data quality issues and implement robust solutions across complex data environments
- Evaluate and recommend tools technologies and external vendors to enhance analytics capabilities
- Drive best practices across the full data science lifecyclefrom discovery through deployment
Required Experience & Skills
- 7 years of experience in data science or advanced analytics roles
- Proven track record leading projects and influencing senior stakeholders
- Strong expertise in machine learning techniques (e.g. clustering decision trees neural networks)
- Deep understanding of statistical modelling including regression hypothesis testing and predictive analytics
- Advanced SQL skills and experience working with large-scale data systems
- Strong programming capabilities (Python R or similar)
- Experience building and managing complex datasets
- Ability to communicate complex concepts clearly to both technical and non-technical audiences
- Demonstrated experience presenting insights to senior or executive-level stakeholders
- Strong problem-solving mindset with the ability to work independently in fast-paced environments
Preferred Background
- Experience working with healthcare clinical or EHR-related data environments
- Familiarity with healthcare data platforms and tools (e.g. Cogito or similar)
- Cloud experience ideally with AWS (certification strongly preferred)
- Exposure to data in operational financial or revenue cycle environments
Education
- Bachelors degree in a STEM-related field (Computer Science Engineering Mathematics Statistics etc.) required
- Masters degree in Data Science or a related discipline is advantageous
What This Role Offers
- Ownership of high-visibility business-critical analytics initiatives
- Opportunity to influence decision-making at senior leadership level
- Leadership exposure with mentoring and team development responsibilities
- A collaborative data-driven environment with strong investment in analytics capability
- Flexible working arrangements with a balance of remote and on-site collaboration
Apply Now.
Conenct with me here
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