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# Lead Data Scientist

- **Company:** CareerCircle
- **Location:** Orlando, FL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $176,800.0 - $187,200.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Continuous Integration, Data Presentation, R (Programming Language), Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Recommender Systems, Power BI, SQL Databases, Web Analytics, Data Processing, Feature Engineering, Machine Learning Operations, Databricks
- **Published:** July 1, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/fl/orlando/d0f1a766-100f-40a1-b681-c7a940029f7a

## About the Role

mlops, feature engineering, statistical models, power bi, python, sql, machine learning, databricks, azure devops, digital analytics

Top Skills Details

mlops,feature engineering,statistical models,power bi,python,sql,machine learning

Additional Skills & Qualifications

Bachelor's required; Master's/PhD preferred

8+ years in data science/ML

2-3+ years in leadership or lead role

Experience working with large datasets

Strong communication and stakeholder management

## Description

Power BI
Operations
Leadership
Mentorship
Governance
Databricks
Scalability
Forecasting
Data Science
Azure DevOps
Communication
Customer Service
Machine Learning
Data Manipulation
Data Storytelling
Business Valuation
Recommender Systems
Feature Engineering
Lifecycle Management
Statistical Modeling
Full Stack Development
Artificial Intelligence
Business Transformation
R (Programming Language)
Machine Learning Strategy
SQL (Programming Language)
Python (Programming Language)
MLOps (Machine Learning Operations), Top Skills' DetailsAdvanced Python, R, SQL for data manipulation and model development

End-to-end ML lifecycle (build, deploy, monitor, retrain)

Forecasting, recommender systems, predictive analytics

MLOps practices (CI/CD, monitoring, governance)

Data storytelling for executive audiences

Statistical modeling, experimentation, hypothesis testing, Lead Data Scientist responsible for defining and executing analytics and ML strategy to improve business performance and customer experience. Leads development of forecasting, predictive, and recommendation models, partnering with ML Ops and engineering to ensure scalable deployment and lifecycle management. Owns architecture, standards, and quality of analytical products while mentoring team members and collaborating with business and technology stakeholders., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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CI/CD
Power BI
Operations
Leadership
Mentorship
Governance
Databricks
Scalability
Forecasting
Data Science
Azure DevOps
Communication
Customer Service
Machine Learning
Data Manipulation
Data Storytelling
Business Valuation
Recommender Systems
Feature Engineering
Lifecycle Management
Statistical Modeling
Full Stack Development
Artificial Intelligence
Business Transformation
R (Programming Language)
Machine Learning Strategy
SQL (Programming Language)
Python (Programming Language)
MLOps (Machine Learning Operations)


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