Lead Data Scientist

Dexian; Boca Raton (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

Dexian is seeking a highly skilled Lead Data Scientist for an on-site role in Boca Raton, FL. You will design, develop, and deploy ML/AI solutions, manage full ML project lifecycles, and mentor juniors. Strong Python and SQL, plus production ML experience, are required.

You will lead modeling efforts, ensure model governance, and collaborate with leadership to translate business needs into technical solutions. This role offers contract-to-hire and a path to permanent placement.

Qualifications

• Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field, or equivalent professional experience.
• Professional proficiency in English (written and spoken).
• 5-8 years of experience in data science, predictive analytics, software engineering, or related fields.
• Strong expertise in designing and architecting advanced machine learning and AI solutions.
• Proven experience in model training, hyperparameter tuning, and scalable training pipelines.
• Deep understanding of model validation, fairness, bias mitigation, and governance.
• Hands-on experience deploying ML systems with CI/CD pipelines, containerization (e.g., Docker), orchestration (e.g., Kubernetes).
• Track record of building automated model monitoring and retraining workflows.

Responsibilities

• Design and develop ML/AI models by framing business issues, engineering features, and selecting suitable algorithms.
• Prepare data, fit algorithms, tune hyperparameters, and validate model robustness with cross-validation.
• Evaluate model performance with metrics, conduct fairness/bias assessments, and analyze errors.
• Deploy models into production, package/code, automate deployment, and document for maintenance.
• Continuously monitor deployed models, track performance, detect data drift, and trigger retraining.
• Collaborate with junior team members to discuss trade-offs and provide technical leadership.
• Communicate results and insights effectively to leadership and stakeholders.

Skills

Python

SQL

Model deployment

CI/CD

Docker

Kubernetes

Cloud platforms

Leadership

Education

Bachelor's Degree in Data Science/CS/Math

Master's Degree (preferred)

Tools

Docker

Kubernetes

Python

Job description

JOB IS 5 DAYS ONSITE IN BOCA RATON FL CONTRACT TO HIRE

PYTHON /SQL TOP SKILLS

Position Summary

We are looking for a highly skilled Lead Data Scientist to join our expanding Data Services team at our Bethesda, MD office. In this role, you will be instrumental in designing, developing, and deploying machine learning and AI solutions that support strategic decision-making and enhance operational efficiency. You will manage the full lifecycle of machine learning projects-from conceptualization and problem framing to model deployment and ongoing performance monitoring. This position requires a strong foundation in data science, enthusiasm for production-grade ML systems, and a proactive approach to translating business needs into effective technical solutions. You will work independently to deliver high-impact results, mentor junior team members, and provide leadership on how to leverage data science to advance business objectives.

Key Responsibilities

• Design and develop machine learning and AI models by framing business issues, engineering features, and selecting suitable algorithms and architectures. Create flexible and scalable processes that address complex, multi-dimensional business problems.
• Prepare data, fit algorithms, tune hyperparameters, and validate model robustness through cross-validation techniques. Clearly articulate trade-offs among different modeling approaches and their business implications before development.
• Evaluate model performance using statistical metrics, conduct fairness and bias assessments, and perform error analysis to improve model quality. Develop evaluation metrics tied to business outcomes and explain how performance gains translate into value.
• Deploy models into production environments by packaging appropriately, integrating with existing systems, automating deployment workflows, and documenting for maintainability. Incorporate error handling and logging mechanisms.
• Continuously monitor deployed models by tracking performance over time, detecting data drift, triggering retraining when needed, and setting up alerting systems for long-term health.
• Collaborate with junior team members to discuss trade-offs and technical solutions for their business problems. Offer thought leadership on innovative ways to utilize machine learning and AI for business growth.
• Communicate model results, performance trade-offs, and strategic insights effectively to leadership and key stakeholders.

Required Qualifications

• Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field, or equivalent professional experience.
• Professional proficiency in English (written and spoken).
• 5-8 years of experience in data science, predictive analytics, software engineering, or related fields.
• Strong expertise in designing and architecting advanced machine learning and AI solutions, including framing complex problems, scalable feature engineering, and selecting optimal algorithms.
• Proven experience in model training, hyperparameter tuning, and scalable training pipelines, including distributed training strategies.
• Deep understanding of model validation, fairness, bias mitigation, and governance, with capabilities in error analysis and benchmarking.
• Hands-on experience deploying ML systems with CI/CD pipelines, containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud environment standards.
• Track record of building automated model monitoring, drift detection, retraining workflows, and maintaining long-term model health.
• Expert-level programming skills in Python and SQL, with experience developing production-quality code, query optimization, and mentoring team members on best practices.

Preferred Qualifications

• Master's Degree in Data Science, Computer Science, Mathematics, Statistics, or related fields.
• Experience leading enterprise-scale machine learning projects, defining feature engineering strategies, and selecting architectures.
• Knowledge of advanced hyperparameter optimization, distributed training, and scalable pipeline development.
• Familiarity with cloud-based deployment, container orchestration, and security standards across cloud environments.
Experience establishing robust model governance frameworks, fairness audits, and bias mitigation workflows.
• Ability to communicate technical insights effectively to various audiences, including leadership and non-technical stakeholders.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.