Sr Advanced Data Scientist
Key Skills for This Role
Full Job Posting
Required Qualifications
- Bachelor's or master’s degree in Engineering, Applied Mathematics, Statistics, or a related discipline.
- 8 to 14 years of overall experience with at least 4 years of relevant experience in AI/ML, Analytics, Data Science, or Data Engineering product development.
- Strong analytical and problem-solving skills with the ability to derive insights from complex data.
- Experience developing and deploying machine learning or AI-based products in production environments.
- Experience working in agile product development organizations.
- Artificial Intelligence & Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Machine Learning
- Deep Learning
- Statistical Modeling
- Predictive Analytics
- Knowledge Graphs
- Causal AI
- Model Deployment and Monitoring
- Programming
- Advanced Python
- PySpark
- Data Engineering
- Data Processing and Transformation
- Data Pipeline Development
- Data Preparation for ML Workloads
- Python Packaging and Deployment
- Software Engineering Practices
- Automated Unit Testing (PyTest)
- CI/CD and DevOps Practices
- Git / Bitbucket
- GitHub Copilot
- Scalable and Performant Application Design
Technical Skills
- Artificial Intelligence & Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Machine Learning
- Deep Learning
- Statistical Modeling
- Predictive Analytics
- Knowledge Graphs
- Causal AI
- Model Deployment and Monitoring
- Programming
- Advanced Python
- PySpark
- Data Engineering
- Data Processing and Transformation
- Data Pipeline Development
- Data Preparation for ML Workloads
- Python Packaging and Deployment
- Software Engineering Practices
- Automated Unit Testing (PyTest)
- CI/CD and DevOps Practices
- Git / Bitbucket
- GitHub Copilot
- Scalable and Performant Application Design
- Preferred Qualifications
- Experience working with Industrial Automation, Manufacturing, Process Control, or Industrial IoT data.
- Experience supporting fast-paced product engineering and innovation teams.
- Exposure to MLOps, AI platform development, and large-scale distributed data processing.
- Strong communication, stakeholder management, and cross-functional collaboration skills.
- Demonstrated ability to learn, explore, and adopt emerging technologies aligned with organizational objectives.
Key Responsibilities
- Research and apply advancements in Artificial Intelligence, including:
- Generative AI and Large Language Models (LLMs)
- Causal AI
- Knowledge Graphs
- Machine Learning and Deep Learning
- Design, develop, and deploy scalable AI/ML solutions that solve complex customer and business problems.
- Lead research initiatives, proof-of-concepts, pilot programs, and rapid prototyping activities to evaluate emerging technologies and product opportunities.
- Build and optimize data pipelines, data engineering workflows, and analytics platforms to support machine learning applications.
- Process, transform, and prepare structured and unstructured data for advanced analytics and AI model consumption.
- Collaborate with product managers, domain experts, software engineers, architects, and stakeholders to deliver end-to-end solutions.
- Perform problem analysis, solution design, development, integration, testing, deployment, maintenance, and support of analytics and AI products.
- Establish best practices, standards, and governance processes for AI/ML model development, deployment, monitoring, and lifecycle management.
- Develop high-quality, maintainable, and testable software using modern engineering practices including automated unit testing and CI/CD.
- Evaluate and adopt productivity-enhancing tools, frameworks, and emerging technologies to accelerate innovation and delivery.
Preferred Qualifications
- Experience working with Industrial Automation, Manufacturing, Process Control, or Industrial IoT data.
- Experience supporting fast-paced product engineering and innovation teams.
- Exposure to MLOps, AI platform development, and large-scale distributed data processing.
- Strong communication, stakeholder management, and cross-functional collaboration skills.
- Demonstrated ability to learn, explore, and adopt emerging technologies aligned with organizational objectives.
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