Data Scientist
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Data Scientist AI/ML(w2 position Day 1 On-site)
Location: Tampa FL
Domain:Data Management
Long Term Contract
Looking for W2 Candidates. No C2C
Location: Tampa FL
Domain:Data Management
Long Term Contract
Looking for W2 Candidates. No C2C
Description:
Strategic AI Leadership: Translate complex business challenges into clear actionable AI/ML strategies and comprehensive technical roadmaps ensuring alignment with organizational goals.
Team Leadership & Mentorship: Guide mentor and develop a high-performing team of data scientists and machine learning engineers fostering a collaborative culture of innovation continuous learning and technical excellence.
End-to-End Solution Delivery: Oversee the entire machine learning lifecycle from problem definition and data exploration to model design training validation deployment monitoring and ongoing optimization.
Production Deployment: Lead the successful deployment of robust scalable and high-impact ML solutions into production environments ensuring they generate measurable and significant business value.
Technical Excellence & Best Practices: Champion MLOps best practices ensuring robust model governance versioning testing and monitoring for all AI solutions.
Technology Evaluation & Integration: Actively research evaluate and integrate new AI technologies frameworks (including Agentic frameworks) tools and cutting-edge research findings to maintain a competitive edge and drive innovation.
Stakeholder Collaboration: Collaborate effectively with cross-functional teams including engineering product and business units to understand requirements manage expectations and ensure successful project delivery.
Ethical AI Development: Apply a strong understanding of ethical AI principles fairness transparency and data privacy throughout the design development and deployment of all AI solutions.
Qualifications:
Experience: overall 12 years of experience and min 8 years of progressive experience in data science roles with a significant focus on leading AI/ML initiatives.
Strategic AI Leadership: Translate complex business challenges into clear actionable AI/ML strategies and comprehensive technical roadmaps ensuring alignment with organizational goals.
Team Leadership & Mentorship: Guide mentor and develop a high-performing team of data scientists and machine learning engineers fostering a collaborative culture of innovation continuous learning and technical excellence.
End-to-End Solution Delivery: Oversee the entire machine learning lifecycle from problem definition and data exploration to model design training validation deployment monitoring and ongoing optimization.
Production Deployment: Lead the successful deployment of robust scalable and high-impact ML solutions into production environments ensuring they generate measurable and significant business value.
Technical Excellence & Best Practices: Champion MLOps best practices ensuring robust model governance versioning testing and monitoring for all AI solutions.
Technology Evaluation & Integration: Actively research evaluate and integrate new AI technologies frameworks (including Agentic frameworks) tools and cutting-edge research findings to maintain a competitive edge and drive innovation.
Stakeholder Collaboration: Collaborate effectively with cross-functional teams including engineering product and business units to understand requirements manage expectations and ensure successful project delivery.
Ethical AI Development: Apply a strong understanding of ethical AI principles fairness transparency and data privacy throughout the design development and deployment of all AI solutions.
Qualifications:
Experience: overall 12 years of experience and min 8 years of progressive experience in data science roles with a significant focus on leading AI/ML initiatives.
Thanks & Regards
PHN: 1 .
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
