CO - Data Scientist/Machine Learning Engineer(W2 Only)

Data Scientist is needed in Oceanside, United States.

Client: CO

Location: Oceanside, United States

Contract: Contractor

Job Description:

Data Science plays a key role in transforming vast amounts of structured and unstructured data into insights, building predictive analytics and machine learning (ML) models for complex business problems that enable the organization in data-driven decision making. As a Data Scientist within our analytics chapter, you will be responsible for implementing data and analytics pipelines, building new business solutions, and actively managing the ML model through its lifecycle.

Job Responsibilities:

• Be part of a cross-functional use case team to address high-pressing business problems
• Become familiar with product-related data, manufacturing processes, and systems
• Preprocess structured and unstructured data, potentially collaborating with Data Engineers
• Analyze small to large amounts of static and real-time data to discover trends and patterns
• Build, validate, and deploy ML models and algorithms to predict manufacturing issues
• Maintain ML model lifecycle to ensure it remains fit for the intended use over time

Job Requirements:

• Master’s with 2 years relevant work experience, or PhD degree in a related field
• Advanced knowledge of programming languages (Python, R) and ability to implement pipelines
• Extensive knowledge of ML frameworks, data structures, modeling, and software architecture
• Rich experience in ML model validation and lifecycle management
• In-depth knowledge of applying unsupervised and supervised models
• Proficiency in developing data and model pipelines and using cloud computing (GCP/AWS)
• Superb analytical and problem-solving abilities
• Ability to communicate complex concepts effectively to various stakeholders

Additional Information:

• Contract type: 12+ months
• Pay: $60.00 - $63.00 per hour
• Experience level: 10 years
• Schedule: 8 hour shift, Monday to Friday
• Education: Bachelor’s degree preferred
• Location: In-person position in Oceanside, CA 92056. Required ability to commute or relocate before starting work.