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Principal Data Scientist AI -Seattle, WA

  • Full Time, onsite
  • Apexon
  • HybridWeekly 3 days onsite, United States of America
Salary undisclosed

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Principal Data Scientist AI -Seattle, WA

Principal Data Scientist Apexon AI Location: Seattle, WA Hybrid (3 days onsite)

Key Responsibilities:
Design and deploy advanced ML models using Snowflake, Databricks, Python/R to solve business challenges.
Partner with data engineering to integrate models with pipelines for scalability.
Implement MLOps frameworks to automate deployment and model retraining.
Utilize big data from cloud platforms (Snowflake) for insights and predictive modeling.
Collaborate with product, engineering, and operations to provide data-driven solutions.
Continuously optimize models for performance and scalability.
Mentor junior data scientists, fostering a collaborative environment.
Qualifications:
10+ years in data science, focused on large-scale model development and deployment. Telecom experience is a plus.
Proficient in ML models with large datasets (Snowflake, Databricks).
Strong understanding of MLOps and production model deployment.
Advanced Python/R skills; experience with AWS, Azure, or Google Cloud Platform.
Expertise in statistical modeling, algorithms (regression, classification, clustering).
Proficient with SQL, PySpark, and data tools; experience with Git, CI/CD, and model monitoring.
Strong communicator, able to present insights to technical and non-technical stakeholders.
Leadership experience driving data science projects from concept to deployment.
Preferred Skills:
Experience in telecom or similar data-intensive industries.
Familiarity with real-time analytics and deep learning frameworks (TensorFlow, PyTorch).
Experience in NLP or time series forecasting.

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