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Data ScientistLouisville, KY ( Onsite)
Job Location:
Job Location:
Louisville, KY - USA
Hourly Salary:
USD 40 - 40
Hourly Salary:
Posted:
25 October 2026 (6 hours ago)
Posted:
Application Deadline:
22 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Position: Data Scientist
Location - Louisville KY ( Onsite)
W2 rate:$40/hr and C2C rate:$50/hr
Job Summary
The Data Scientist is responsible for applying advanced analytics statistical modeling and machine learning techniques to solve business problems and improve outcomes across. This role partners with business product engineering and architecture teams to develop data-driven solutions that support enterprise strategies while aligning to data security governance and architecture standards.
Key Responsibilities
Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination based solely on their qualifications ability competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error please disregard it and notify the sender. If you no longer wish to receive our communications you may unsubscribe at any time.
Security Notice: Our official website is We do not operate or authorize any other websites representing Diverse Lynx LLC.
Location - Louisville KY ( Onsite)
W2 rate:$40/hr and C2C rate:$50/hr
Job Summary
The Data Scientist is responsible for applying advanced analytics statistical modeling and machine learning techniques to solve business problems and improve outcomes across. This role partners with business product engineering and architecture teams to develop data-driven solutions that support enterprise strategies while aligning to data security governance and architecture standards.
Key Responsibilities
- Analyze large complex datasets to identify trends risks opportunities and actionable insights.
- Build validate and deploy statistical predictive and machine learning models.
- Translate business problems into analytical approaches and measurable outcomes.
- Partner with Data Engineers Application Architects Product Managers and business stakeholders to design scalable analytics solutions.
- Develop experiments forecasting models segmentation methods and decision-support tools.
- Communicate findings through dashboards visualizations presentations and technical documentation.
- Support model monitoring performance evaluation and continuous improvement.
- Ensure solutions align with enterprise data architecture reference standards and approved technology patterns.
- Follow client policies for information protection least-privilege access secure storage and confidential data handling.
- Contribute to reusable analytics assets standards and best practices across teams.
- Bachelors degree in Data Science Statistics Computer Science Mathematics Engineering Economics or related field.
- Experience in data science advanced analytics or machine learning.
- Strong knowledge of:
- Python and/or R
- SQL
- Statistics and hypothesis testing
- Machine learning methods
- Data wrangling and feature engineering
- Experience working with cloud or enterprise analytics platforms.
- Ability to communicate technical results to non-technical stakeholders.
- Experience working with cross-functional teams in a regulated or enterprise environment.
- Masters or PhD in a quantitative field.
- Experience with Databricks Spark or large-scale distributed data platforms.
- Experience in healthcare payer claims member provider or clinical analytics.
- Familiarity with MLOps model governance and production model deployment.
- Experience with BI and visualization tools such as Power BI or Tableau.
- Understanding of data architecture cataloging and enterprise data standards.
- Programming: Python R SQL
- Data Platforms: Databricks Spark cloud data platforms
- Modeling: regression classification clustering time series NLP experimentation
- Visualization: dashboards storytelling exploratory analysis
- Data Management: data dictionaries data models schema awareness governed datasets
- Analytical thinking
- Problem solving
- Stakeholder communication
- Collaboration
- Documentation discipline
- Business acumen
- Handle data in accordance with information protection and acceptable use requirements.
- Use least-privilege access and approved enterprise tools only.
- Protect confidential and restricted information in analysis storage sharing and reporting.
- Follow approved enterprise architecture data-sharing and platform standards.
Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination based solely on their qualifications ability competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error please disregard it and notify the sender. If you no longer wish to receive our communications you may unsubscribe at any time.
Security Notice: Our official website is We do not operate or authorize any other websites representing Diverse Lynx LLC.
Required Experience:
IC
