Senior Data Scientist
Senior Data Scientist
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Job Description
Job Title: Senior Data Scientist
Location: Seattle WA
Duration: Contract
Job Description:
Senior Data Scientist Advanced Machine Learning & AI
We are seeking an exceptionally skilled Data Scientist with deep expertise in advanced machine learning (ML) and artificial intelligence (AI). The ideal candidate will have a strong foundation in cuttingedge AI methodologies model optimization and algorithm design paired with experience leveraging cloud technologies such as Google Cloud Platform (GCP) and Vertex AI to deploy scalable solutions.
Key Responsibilities and Skills
- Develop and implement advanced ML and AI models including deep learning reinforcement learning and generative AI for complex business challenges.
- Innovate in areas such as explainable AI transfer learning and realtime decisionmaking systems.
- Design endtoend ML pipelines optimizing for performance scalability and reliability.
- Collaborate with data engineers and product teams to translate business objectives into impactful AI solutions.
- Proficiency in advanced ML techniques including ensemble methods neural networks and unsupervised learning.
- Solid understanding of data preprocessing feature engineering and model evaluation techniques.
- Use GCP tools like Vertex AI BigQuery and Dataflow for model training experimentation and deployment.
- Apply MLOps practices to ensure robust monitoring retraining and model lifecycle management.
- Research and integrate stateoftheart ML frameworks (e.g. TensorFlow PyTorch) and algorithms.
- Analyze large unstructured datasets applying techniques like feature selection dimensionality reduction and clustering.
- Mentor junior team members and drive thought leadership in ML/AI practices.
Qualifications
- Masters degree in Machine Learning Computer Science Statistics or a related field
- 10 years of experience in AI/ML including deploying complex solutions in production.
- Expertise in designing and optimizing deep learning architectures and advanced ML models.
- Experience with big data technologies like Spark and cloud platforms such as GCP or equivalent.
- Strong programming skills in Python or R with expertise in TensorFlow PyTorch or equivalent.
Preferred Qualifications
- Ph.D. in Machine Learning Computer Science Statistics or a related field
- Publications or patents in AI/ML.
- Experience in applying AI to domains like NLP CV or timeseries analysis.
- GCP certifications (e.g. ML Engineer Data Engineer).
Employment Type
Full Time
