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Data Scientist | W2 Role

Pull Skill Technologies

Boca Raton, Florida • Today

Easy Apply

Contract

Depends on Experience

Staff Data Scientist | ML

Machinify

Remote • Today

Full-time

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Remote or Miami, Florida • Today

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Remote • Today

Easy Apply

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$60 - $70 per hour

Staff Data Scientist - Digital Intelligence

Socure

Remote or San Francisco, California • Today

Full-time

USD 191,000.00 - 230,000.00 per year

Data Tech Lead

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Remote • Today

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$80.00 - $90.00

Lead Data Engineer

Lennar Corp

Remote or Irving, Texas • Today

Full-time

NEO4J With DATA MODELING (ONLY W2)

ERPA

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Data & Analytics Engineer

Foot Locker

Remote • Today

Full-time

USD 100,000.00 - 105,000.00 per year

Senior AI Data Scientist - Can Work Remotely Within Specific Regions

Genesis10

Remote • Today

Easy Apply

Full-time

USD 60.00 - 66.00 per hour

Job Details

Skills

Decision-making
Continuous Integration
Data Engineering
Data Management
Data Science
Cloud Computing
Computer Science
Continuous Delivery
Continuous Improvement
Adaptability
Algorithms
Articulate
Artificial Intelligence
Auditing
Mentorship
Modeling
Operational Efficiency
Optimization
Orchestration
Performance Monitoring
Kubernetes
Leadership
Lifecycle Management
Machine Learning (ML)
Benchmarking
Docker
Econometrics
Economics
Evaluation
SQL
Scalability
Software Engineering
Statistics
Thought Leadership
Training
Ideation
Mathematics
Pivotal
Predictive Analytics
Python
Regulatory Compliance
Workflow

Decision-making
Continuous Integration
Data Engineering
Data Management
Data Science
Cloud Computing
Computer Science
Continuous Delivery
Continuous Improvement
Adaptability
Algorithms
Articulate
Artificial Intelligence
Auditing
Mentorship
Modeling
Operational Efficiency
Optimization
Orchestration
Performance Monitoring
Kubernetes
Leadership
Lifecycle Management
Machine Learning (ML)
Benchmarking
Docker
Econometrics
Economics
Evaluation
SQL
Scalability
Software Engineering
Statistics
Thought Leadership
Training
Ideation
Mathematics
Pivotal
Predictive Analytics
Python
Regulatory Compliance
Workflow

Summary

Position : Lead Data Scientist

Location : Boca Raton, FL - 5 days onsite

Duration : 6 months CTH

About the Role

You will play a pivotal role in designing, developing, and deploying machine learning and AI solutions that drive strategic decision-making and operational efficiency across client s business. You will be responsible for supporting the full lifecycle of machine learning and AI development from initial ideation and business problem framing through model development, deployment, and ongoing performance monitoring. This role requires a strong foundation in data science, with a deep interest in learning about production-grade ML systems, and a proactive approach to translating business needs into technical solutions. You will be expected to act independently to deliver high-impact technical solutions, taking ownership of projects from concept to execution. You will mentor junior team members on technical trade-offs on solutions and provide thought leadership about how different problems can be solve. This role reports to the Senior Director, Data Science.

You will

Be responsible for designing machine learning and AI models by framing business problems, engineering features, and selecting appropriate algorithms and architectures. When designing solutions create processes that can be utilized for multiple business reasons and is adaptable. Responsible for larger more complex business problems that are multi-dimensional.
Train models by preparing data, fitting algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques. Prior to development able to articulate the trade-off on different modeling techniques and implications when applied to business problem.
Validate model performance using statistical metrics, conduct fairness and bias assessments, and perform error analysis to refine model quality. Create evaluation metrics and results that tie to business outcomes. Able to articulate how model performance gain equates to business value.
Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, including robust error handling and documenting for maintainability.
Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, including robust error handling and documenting for maintainability.
Monitor deployed models by tracking performance over time, detecting data drift, triggering retraining when necessary, and implementing logging and alerting mechanisms.
Working with junior team members to discuss trade-offs and solutions for team members business problems. Provide thought leadership on different ways to advance the business utilizing machine learning and AI.
Communicate model results and trade-offs to leadership and stakeholder.

You will come with

Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics or related fields required or equivalent years of experience.
Master's Degree in Computer Science, Mathematics, Statistics or related field preferred.
5-8 years in data science, predictive analytics, econometrics, software engineering, data engineering or related fields preferred.
Proven expertise in designing and architecting advanced machine learning and AI solutions, including leading efforts to frame complex business problems, define scalable feature engineering strategies, and select optimal algorithms and architectures for enterprise-level applications.
Proven expertise in model training and optimization, with the ability to design efficient training pipelines, implement distributed training strategies, and apply sophisticated hyperparameter tuning techniques to maximize performance and scalability.
Proven expertise in model validation and governance, including establishing rigorous evaluation frameworks, conducting comprehensive fairness and bias audits, and driving continuous improvement through advanced error analysis and benchmarking.
Proven expertise in production deployment of ML systems, including designing robust CI/CD pipelines, implementing containerization and orchestration (e.g., Docker, Kubernetes), and ensuring compliance with security and reliability standards across cloud environments.
Oversight of model monitoring and lifecycle management, including building automated monitoring systems, implementing drift detection and retraining workflows, and defining alerting mechanisms to maintain long-term model health and business impact.
Expert-level programming skills in Python and SQL, with the ability to develop production-grade code, optimize queries for large-scale datasets, and mentor team members on best practices for coding and data management.
Working with junior team members to discuss trade-offs and solutions for team members business problems. Provide thought leadership on different ways to advance the business utilizing machine learning and AI.

Top Skills Needed:

Endtoend machine learning system design
Ability to frame complex, multidimensional business problems into scalable ML/AI solutions - covering feature engineering, algorithm selection, model architecture, and ensuring designs are reusable and adaptable across the enterprise.
Production ML engineering & lifecycle management
Strong experience deploying, monitoring, and maintaining ML models in production, including CI/CD pipelines, containerization (Docker/Kubernetes), cloud environments, performance monitoring, drift detection, and automated retraining to ensure longterm reliability and business impact.
Model validation, governance & business communication
Expertise in validating models using statistical metrics, fairness and bias assessments, error analysis, and clearly translating model performance and tradeoffs into business value for leadership and stakeholders.

Interview process:

Technical round with Senior Director of Data Science (1 hour)
TBD (45 mins)
TBD (30 mins)

Regards,

Adam Jones (Azam)

Direct: 5 5 1 2 6 4 7 2 4 9

Email: Adam (@) pullskill (dot) com

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: 90922281
Position Id: 9088374
Posted 3 hours ago

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Contact the job poster

Adam Jones

Recruiter @ Pull Skill Technologies

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