Data Scientist || Remote – Bellevue, Washington

Greetings!!

This is Simranjeet from Compunnel Inc. I'm hiring for the below role, please share profiles at Simranjeet.kaur@compunnel.com m: (+1) 640-209-4751 

• Lead the design, development, and deployment of machine learning and deep learning models for real-world applications.
• Architect and implement end-to-end ML pipelines, including data ingestion, model training, deployment, monitoring, and retraining using MLOps best practices.
• Collaborate with cross-functional teams (engineering, product, analytics) to define business problems and translate them into data science solutions.
• Drive experimentation and optimization of models for performance, scalability, and reliability.
• Mentor junior data scientists and contribute to building a high-performing data science culture.
• Ensure high-quality data engineering practices, including robust ETL pipelines, data integrity, and model feature engineering at scale.
• Stay current with the latest research and industry trends in AI/ML and integrate relevant innovations into production workflows.

• 10+ years of hands-on experience in data science, with a proven track record of deploying machine learning and deep learning models at scale.
• Strong programming skills in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, or XGBoost.
• Solid knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker, Airflow, Docker, Kubernetes).
• Proficiency in data engineering tools and frameworks (e.g., Spark, Kafka, SQL, dbt, Snowflake, or BigQuery).
• Experience building scalable data pipelines and managing large, complex datasets.
• Strong analytical and problem-solving skills with the ability to distill complex data into actionable insights.
• Excellent communication and stakeholder management skills.
• Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related technical field.