Data Scientist - Orlando, FL, Atlanta, GA, Birmingham, AL, Charleston, SC, Biloxi, MS, Charlotte, NC

Remote in Orlando, FL, US • Posted 2 hours ago • Updated 1 hour ago
Contract W2
On-site
$DOE
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Job Details

Skills

  • Python
  • SQL
  • R
  • Data Science
  • machine learning
  • feature engineering
  • Azure DevOps
  • Power BI
  • data visualization
  • Databricks
  • CI/CD pipelines
  • MLOps
  • Data scientist
  • data manipulation
  • statistical analysis
  • Forecasting
  • Technical Leadership
  • Performance Optimization
  • Predictive Modeling
  • Recommendation Engine Development
  • Model Monitoring
  • Model Deployment
  • Model Optimization
  • Advanced Analytics
  • Statistical Modeling
  • Model Development
  • Mentoring
  • Business Stakeholder Management
  • Predictive Analytics
  • Recommendation Systems
  • Lead Data Scientist
  • Data Analytics
  • Experimentation
  • Hypothesis Testing
  • Model Retraining
  • ML Lifecycle Management
  • ML Governance
  • Model Governance
  • Large-Scale Data Analysis
  • Forecasting Models
  • Scalable Machine Learning Solutions
  • Business Intelligence
  • Data Storytelling
  • Analytics Strategy
  • Machine Learning Strategy
  • Enterprise Analytics
  • Cross-Functional Collaboration
  • Analytical Problem Solving

Summary

Job Title: Data Scientist
Location:
Orlando, FL, Atlanta, GA, Birmingham, AL, Charleston, SC, Biloxi, MS, Charlotte, NC
Can do Only W2, No C2C


Job Summary:

We are seeking an experienced Lead Data Scientist to define and execute analytics and machine learning strategies that improve business performance and customer experience. The ideal candidate will lead the development of advanced predictive models, forecasting solutions, recommendation systems, and scalable ML products.

This role requires strong expertise in Python, SQL, Machine Learning, MLOps, Statistical Modeling, Feature Engineering, and Data Analytics. The candidate will partner with engineering and ML Ops teams to ensure successful deployment, monitoring, governance, and lifecycle management of machine learning solutions.


Key Responsibilities:

  • Lead the design, development, and implementation of advanced Machine Learning solutions.
  • Develop and optimize:
  • Forecasting models
  • Predictive analytics models
  • Recommendation systems
  • Statistical models
  • Manage the complete ML lifecycle, including:
  • Model development
  • Deployment
  • Monitoring
  • Performance optimization
  • Retraining
  • Define analytics and ML strategy aligned with business objectives.
  • Build scalable data science solutions using large datasets.
  • Apply:
  • Feature engineering techniques
  • Statistical analysis
  • Experimentation methods
  • Hypothesis testing
  • Partner with ML Ops and engineering teams to productionize machine learning models.
  • Establish standards for:
  • Model quality
  • Governance
  • Architecture
  • Analytical product delivery
  • Implement and support MLOps practices, including:
  • CI/CD pipelines
  • Model monitoring
  • Governance processes
  • Create data-driven insights and communicate findings through executive-level data storytelling.
  • Mentor junior data scientists and provide technical leadership.
  • Collaborate with business stakeholders and technology teams.


Required Skills:

  • Strong experience with:
  • Python
  • SQL
  • R
  • Data manipulation and model development
  • Extensive experience in:
  • Machine Learning
  • Predictive Analytics
  • Forecasting
  • Recommendation Systems
  • Statistical Modeling
  • Strong knowledge of:
  • MLOps
  • Feature Engineering
  • Model deployment lifecycle
  • Model monitoring
  • ML governance
  • Experience working with:
  • Databricks
  • Azure DevOps
  • Power BI
  • Experience handling and analyzing large-scale datasets.
  • Strong understanding of experimentation methodologies and statistical techniques.


Preferred Qualifications:

  • Bachelor's degree required in:
  • Computer Science
  • Data Science
  • Statistics
  • Mathematics
  • Related technical field
  • Master's degree or PhD preferred.
  • 8+ years of experience in:
  • Data Science
  • Machine Learning
  • Advanced Analytics
  • 2 3+ years of experience in a leadership or lead data science role.
  • Experience delivering enterprise-level analytics solutions.
  • Experience with digital analytics platforms and business intelligence tools.


Soft Skills:

  • Strong leadership and mentoring skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to translate complex technical concepts into business insights.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate effectively with cross-functional teams.
  • Strong presentation and data storytelling skills.


Best Regards:

Tanuja P
Phone:
Email:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10429554
  • Position Id: 2026-1532
  • Posted 2 hours ago

Company Info

About TechniPros, LLC

TechniPros is a fast growing software consulting company offering mission critical consulting solutions to businesses through cutting-edge technologies since 2005. We help our clients successfully respond and capitalize on opportunities by providing professional services in the areas of systems integration and staff supplementation. We aim to deliver innovative and practical solutions, from concept through implementation and maintenance.



To be a pioneer in technology services industry and to attain & sustain a primary place in attaining quality staffing services to support human capital management needs.
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