Data Scientist

Vortalsoft Inc; New Jersey; Sur place; USD 90 000 - 120 000; Plein temps

Résumé du poste

Vortalsoft Inc in New Jersey is seeking a Data Scientist to develop machine learning models and deliver key business insights. The role involves collaborating with cross-functional teams to translate business requirements into actionable machine learning objectives.

Candidates should have strong analytical skills and experience in model development and deployment. Responsibilities include data preparation, model training, and ensuring performance optimization.

Qualifications

• Experience with machine learning algorithms and model development.
• Strong analytical skills for data exploration and preparation.
• Ability to collaborate with cross-functional teams.

Responsabilités

• Define and understand business problems for machine learning solutions.
• Analyze and preprocess datasets for model training.
• Develop, implement, and evaluate machine learning models.
• Deploy models in production and monitor performance.

Description du poste

Responsibilities

• Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions
• Translate business requirements into machine learning objectives
• Data Exploration and Preparation: Analyze and preprocess large datasets to extract relevant features for model training
• Address data quality issues and ensure data readiness for machine learning tasks
• Model Development: Develop and implement machine learning models using state-of-the-art algorithms
• Experiment with different models and approaches to achieve optimal performance
• Training and Evaluation: Train machine learning models on diverse datasets and fine-tune hyperparameters
• Evaluate model performance using appropriate metrics and iterate on improvements
• Deployment: Deploy machine learning models into production environments
• Collaborate with DevOps and IT teams to ensure smooth integration
• Monitoring and Maintenance: Implement monitoring systems to track model performance in real-time
• Regularly update and retrain models to adapt to evolving data patterns
• Documentation: Document the entire machine learning development pipeline, from data preprocessing to model deployment
• Create user guides and documentation for end-users and stakeholders
• Collaboration: Collaborate with data scientists, software engineers, and domain experts to achieve project goals
• Participate in cross-functional team meetings and knowledge-sharing sessions
• As a Data Scientist you will be responsible for building complex ML models and delivering key business insights and metrics for the organization.