1907-002LDS
Lead Data Scientist
New York, NY
Contract, C2C & W2, Full Time
Long-Term
DOE
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Job Description
Posted On:
Opportunity
We are seeking a highly skilled Lead Data Scientist to join our dynamic team. This role involves analyzing diverse datasets to extract meaningful insights, designing and deploying advanced machine learning models, and collaborating with other technical teams to drive business optimization and innovation. The ideal candidate will have extensive experience in data science and machine learning, with a strong focus on developing and implementing predictive models and scalable data processing pipelines.
Key Responsibilities
- Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.
- Design, develop, and deploy predictive models, clustering algorithms, recommendation systems, and anomaly detection models for various applications, including customer segmentation, fraud detection, credit risk assessment, and personalized recommendations.
- Conduct exploratory data analysis, feature engineering, and model selection to optimize performance and enhance predictive accuracy.
- Implement and maintain scalable machine learning pipelines and workflows, ensuring reliability, scalability, and efficiency.
- Process large-scale data and build scalable data processing pipelines.
- Evaluate model performance using appropriate metrics and techniques, conducting A/B testing and iterating on models to continuously improve accuracy and business impact.
- Collaborate with other technical teams to integrate machine learning models into production systems, monitor performance, and troubleshoot issues.
- Contribute to the development of best practices, standards, and documentation for machine learning processes and methodologies.
Key Requirements
- 7+ years of experience in data science or machine learning roles, with expertise in developing and deploying machine learning models.
- Degree in Computer Science, Statistics, Mathematics, or a related field.
- Proficiency in Python programming and machine learning libraries (e.g., TensorFlow, scikit-learn) for model development and deployment.
- Experience with data preprocessing, feature engineering, and model selection techniques to optimize performance.
- Familiarity with cloud services (AWS, Google Cloud, Azure).
- Strong understanding of statistical analysis, hypothesis.
Personal Traits
- Agile, goal-oriented and performance-driven.
- Passion for technology and understanding of [data-driven] solutions.
- Ability to build and maintain strong professional relationships.
- Highly analytical with a knack for understanding client needs and market dynamics.
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