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Lead Data Scientist
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Scorecard
Based on Maryland data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$105,701 / year median in Maryland
+24% projected growth
Job Description
Lead Data Scientist
Skills
- Artificial Intelligence
- Algorithms
- Data Science
- Machine Learning (ML)
- IT Management
- Docker
- Python
- SQL
- Machine Learning Operations (ML Ops)
- Kubernetes
- Continuous Integration
- Cloud Computing
- Computer Science
- Data Modeling
- Mathematics
- Predictive Analytics
- Artificial Intelligence
- Algorithms
- Data Science
- Machine Learning (ML)
- IT Management
- Docker
- Python
- SQL
- Machine Learning Operations (ML Ops)
- Kubernetes
- Continuous Integration
- Cloud Computing
- Computer Science
- Data Modeling
- Mathematics
- Predictive Analytics
- SummaryLead Data ScientistLocation: Bethesda, MD or Boca Raton, FL
- 5
Days OnsiteDuration:
6-
Month Contract-to-HireWork Authorization:
Open to
SponsorshipExperience:
5-8 YearsWe are seeking an experienced Lead Data Scientist to design, develop, deploy, and monitor production-grade Machine Learning and AI solutions. The ideal candidate will have strong hands-on expertise across the complete ML lifecycle and experience translating complex business problems into scalable technical solutions.
Key Responsibilities
- Design and develop advanced Machine Learning and AI models.
- Perform feature engineering, algorithm selection, model training, hyperparameter tuning, and validation.
- Build scalable ML training and evaluation pipelines.
- Deploy ML models into production using CI/CD, Docker, Kubernetes, and cloud technologies.
- Implement model monitoring, data/model drift detection, alerting, and automated retraining.
- Conduct model performance, fairness, bias, and error analysis.
- Translate model performance into measurable business outcomes.
- Mentor junior Data Scientists and provide technical leadership.
- Communicate technical solutions, results, and trade-offs to business stakeholders.
Required Skills
- 5-8 years of experience in Data Science, Machine Learning, Predictive Analytics, or related fields.
- Expert-level Python and SQL.
- Strong experience with Machine Learning/AI model development and production deployment.
- Strong knowledge of feature engineering, model optimization, cross-validation, and hyperparameter tuning.
- Experience with MLOps, CI/CD, Docker, Kubernetes, and cloud environments.
- Experience with model monitoring, drift detection, retraining, and ML governance.
- Strong communication, mentoring, and technical leadership skills.
Education:
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or related field. Master's degree preferred.
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.