Lead Data Scientist | Remote – GA, LA, OK, TN or TX

Location: Remote within Georgia, Louisiana, Oklahoma, Tennessee or Texas

Primary Business Location: Houston, Texas

Work Arrangement: Fully remote within an approved state

Employment Type: Full-time, permanent

Industry: Healthcare and Health Technology

Experience Level: Experienced Individual Contributor / Technical Lead

Reports To: Manager, Data Science

Base Salary: $143,000–$180,000

Travel: Up to 20%

Relocation Assistance: Not available

Visa Sponsorship: Limited sponsorship may be considered

Position Overview

A leading healthcare organization is seeking an experienced Lead Data Scientist to lead high-priority analytical projects and solve complex organizational challenges using advanced statistical analysis, machine learning, predictive modeling and data visualization.

This is a hands-on technical leadership position. The successful candidate will remain actively involved in data exploration, model development, testing and interpretation while guiding projects, partnering with internal customers and mentoring other data scientists.

Key Responsibilities

• Lead analysis of complex structured and unstructured datasets.

• Develop, test, validate and maintain machine-learning and predictive models.

• Apply regression, time-series forecasting, classification, clustering, decision trees, neural networks, A/B testing and hypothesis testing.

• Evaluate model accuracy, stability, interpretability and fitness for purpose.

• Document methodologies, assumptions, limitations and validation results.

• Research and resolve data-quality problems across incomplete or inconsistent sources.

• Build repeatable analytical processes and production-ready solutions.

• Translate complex findings into clear recommendations for technical teams, business leaders and executives.

• Lead projects from discovery through modeling, implementation and measurement.

• Mentor data scientists and raise technical standards across the team.

• Partner with engineering, analytics, clinical and operational stakeholders.

• Support responsible and practical use of advanced analytics within healthcare.

Required Qualifications

• Advanced degree or equivalent experience in data science, statistics, mathematics, computer science, engineering, economics or a related quantitative discipline.

• Extensive professional data-science and advanced-analytics experience.

• Expert knowledge of statistical analysis, machine learning and predictive modeling.

• Strong programming experience using Python, R, SQL or comparable tools.

• Experience working with large, complex datasets and resolving data-quality issues.

• Ability to explain sophisticated concepts clearly to non-technical audiences.

• Strong project leadership, consulting and stakeholder-management skills.

• Ability to remain hands-on while leading technical delivery.

• Residence in Georgia, Louisiana, Oklahoma, Tennessee or Texas.

Preferred Qualifications

• Healthcare or health-technology experience.

• Experience deploying and monitoring models in production environments.

• Cloud analytics, distributed-computing or big-data experience.

• Experience mentoring technical professionals and leading cross-functional projects.

• Knowledge of data governance, privacy and responsible AI practices.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected by applicable law.

Senior Analyst, Workforce Analytics | Remote – GA, LA, OK, TN or TX

Location: Remote within Georgia, Louisiana, Oklahoma, Tennessee or Texas

Primary Business Location: Houston, Texas

Work Arrangement: Fully remote within an approved state

Employment Type: Full-time, permanent

Industry: Healthcare

Experience Level: Senior

Reports To: Director, Workforce Analytics

Base Salary: $90,000–$110,000

Travel: Up to 20%

Relocation Assistance: Not available

Visa Sponsorship: Not available

Position Overview

A leading healthcare organization is seeking a highly analytical and consultative Senior Analyst, Workforce Analytics to transform complex workforce data into meaningful insights, recommendations and business decisions.

This is a hands-on analytics position. The successful candidate will partner with HR, Finance, Technology and operational leaders to understand the business problem behind each request, challenge assumptions, identify root causes and independently determine the most effective analytical solution.

Key Responsibilities

• Conduct complex analyses across headcount, turnover, retention, recruitment, compensation, diversity, productivity and organizational data.

• Translate undefined workforce challenges into structured analytical plans.

• Identify trends, relationships, risks and opportunities within large datasets.

• Develop dashboards, reports, data visualizations and executive-ready presentations.

• Apply statistical techniques and predictive methods to workforce questions.

• Combine data from multiple systems and improve data quality, definitions and governance.

• Partner with HR, Finance, IT and business leaders to define metrics and interpret results.

• Explain what is happening, why it matters and what action should be considered.

• Present findings clearly to senior leaders and non-technical stakeholders.

• Support workforce planning, talent strategy and operational decision-making.

• Manage several analytical projects and priorities independently.

• Mentor colleagues and help improve analytics standards and practices.

Required Qualifications

• Bachelor’s degree in analytics, statistics, mathematics, economics, business, HR, computer science or a related discipline.

• Significant professional experience in workforce, people, HR or business analytics.

• Strong analytical, statistical and problem-solving capability.

• Experience working with large, complex and imperfect datasets.

• Advanced Excel skills and experience with SQL, data visualization and reporting tools.

• Ability to create clear business narratives from analytical findings.

• Strong consulting, stakeholder-management and presentation skills.

• Ability to work independently in an ambiguous, fast-moving environment.

• Residence in Georgia, Louisiana, Oklahoma, Tennessee or Texas.

• Current authorization to work in the United States without sponsorship.

Preferred Qualifications

• Healthcare-industry experience.

• Experience with Tableau, Power BI or comparable visualization platforms.

• Knowledge of HRIS, workforce-planning or talent-management data.

• Experience with predictive analytics, statistical programming or data modeling.

• Graduate degree in a quantitative or business discipline.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected by applicable law.

Enterprise Analytics Manager, Houston, TX - $140,000 - $180,000

Enterprise Analytics Manager, Houston, TX
Full-Time, Permanent
$140,000 - $180,000
10/20% Bonus + Benefits

MINIMUM QUALIFICATIONS

Education:

• Bachelor’s Degree in Information Systems, Computer Science, Data Science, Business Analytics, or equivalent experience required.

Licenses/Certifications:

• None required.

Experience / Knowledge / Skills:

• Minimum of five (5) years of experience in analytics and information systems, including at least three (3) years in a leadership role.

• Strong oral and written communication skills.

• Customer-focused with a collaborative mindset.

• Results-oriented, capable of thriving in a fast-paced environment and managing multiple projects.

• Excellent interpersonal and time management skills.

• Familiarity with business intelligence tools, data science tools, and dashboard software, including but not limited to:

• Database and Query Languages: SQL, Nomad, Oracle, Vertica, Snowflake

• Visualization Tools: Tableau (preferred), Spotfire, Sisense, Qlik, Microsoft Power BI

• Data Visualization Server Admin Tools: Tableau Core, Data Management Server

• Data Prep/Transformation Tools: Tableau Prep, Hadoop, Alteryx, Trifacta, Talend

• Statistical Tools: R, SAS, SPSS, Matlab, Minitab

• Data Science Tools: Python, R, SAS, dataiku, DataRobot, Anaconda

PRINCIPAL ACCOUNTABILITIES

• Align departmental initiatives with organizational goals to support strategic objectives.

• Lead, motivate, and oversee teams responsible for data collection, modeling, analysis, and insights to drive value.

• Foster transparent communication through departmental and cross-functional meetings with key stakeholders.

• Manage resource needs and promote professional growth within the team by setting and tracking performance goals and development plans.

• Oversee and prioritize analytics requests, strategically managing timelines, deliverables, and resource allocation.

• Collaborate with executive leadership to deliver data-driven insights that align with enterprise goals and priorities.

• Monitor and manage budgets related to analytics projects or operations.

• Serve as an advisor to leadership on analytics strategy and data-driven decision-making.

• Build and maintain relationships with internal and external customers, vendors, and regulatory agencies.

• Oversee the design and delivery of analytics solutions that enable informed decision-making through operational metrics.

• Provide timely updates and executive summaries to leadership and stakeholders.

• Act as a mentor and coach, fostering a culture of collaboration and continuous improvement.

• Establish quality controls and standards to meet organizational expectations and regulatory requirements.

• Ensure compliance with policies, including security, access control, and data privacy standards (e.g., HIPAA).

• Manage foundational analytics tools and systems, ensuring availability, growth, and support.

• Administer and oversee the onboarding of data into the Enterprise Data Warehouse Platform, as well as third-party data submissions.

• Support the growth of analytics capabilities across the organization by promoting transparency and usage of existing tools and products.

• Mentor and train analytics user groups in tools such as Tableau, Business Objects, and SQL.

• Encourage adoption of data-driven decision-making through existing analytical products.

OTHER EXPECTATIONS

• Adhere to organizational policies, procedures, and standards related to quality, productivity, and resource management.

• Promote professional growth through continuing education and skills development.

• Serve as a mentor and resource for less experienced staff.

• Demonstrate a commitment to personalized and efficient service for all stakeholders.

Other duties as assigned.

This version removes specific organizational references and rewrites certain sections to ensure uniqueness. Let me know if additional adjustments are needed!

Global Head of Commercial Data Foundations (VP Level) - Cambridge, MA - $300,000 - $380,000

Global Head of Commercial Data Foundations (VP Level)
Cambridge, MA
$300,000 - $380,000

Job Description

We are committed to delivering next-generation solutions in healthcare, leveraging data insights and responsibly applying AI to drive deeper understanding and faster solutions. The Global Head of Commercial Data Foundations is a critical leadership role responsible for developing and implementing the overall strategy for Commercial Data Foundations, as well as managing all related digital and data products.

Key Responsibilities

• Commercial Data Strategy: Define and execute the strategy for Commercial Data Foundations, ensuring alignment with business priorities and evolving market ecosystems.

• Standardization and Efficiency: Promote simplification, harmonization, and efficiency within the data platform landscape through convergence and integration.

• Future-Ready Solutions: Design strategies to prepare the organization for evolving commercial needs, enabling high-value, data-driven use cases.

• Product Development: Build and manage a portfolio of digital products to enhance Commercial Data Foundations, ensuring scalability and global distribution.

• Collaboration: Work closely with data Centers of Excellence and advanced analytics/AI teams to optimize data tools, platforms, and technologies.

• Data Governance: Partner with data governance leaders across business units to enable robust governance practices.

• Leadership: Oversee a Commercial Data Engineering Center of Excellence, fostering innovation and operational excellence.

Qualifications

• Education: Bachelor’s or advanced degree in Computer Science, Data Science, Information Technology, Statistics, or Business Administration with a focus on Information Systems.

• Experience:

• Proven success in leading digital and technology initiatives within matrix organizations.

• Demonstrated ability to build and manage high-performing teams in diverse markets.

• A strong track record in creating and scaling digital solutions globally.

• Language: Fluency in oral and written English.

Technical Skills

• Data Management: Proficiency in relational databases (e.g., SQL, NoSQL, Graph/Vector Databases) and Data Lakes.

• Data Visualization: Experience with tools like Tableau, Power BI, or Qlik.

• Integration: Expertise in data integration tools (e.g., IICS) and combining data from diverse sources.

• Cloud Platforms: Familiarity with leading cloud environments.

Why Join Us?

• Growth Opportunities: Foster your career development through promotions, lateral moves, and international roles.

• Comprehensive Benefits: Access a robust rewards package, including healthcare, wellness programs, and parental leave.

• Inclusive Culture: Join a diverse team united by a shared mission to drive progress and deliver extraordinary results.

Equal Opportunity

We are dedicated to creating a culturally inclusive and diverse workplace. All qualified applicants will be considered without regard to race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.