Senior Data Scientist, Machine Learning
New
100% remote work flexibility across the United States.Full-TimeSenior
Salary194,834 - 218,284 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSDockerPythonSQLETLGCPMachine LearningPyTorchAzureTensorflow
Requirements
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- 5+ years of professional experience as a Data Scientist, Machine Learning Engineer, or Data Engineer.
- Strong expertise in SQL with experience writing and optimizing complex queries.
- Hands-on experience with machine learning frameworks such as TensorFlow and PyTorch.
- Experience designing data and feature extraction pipelines for multimodal datasets.
- Strong background in training and prototyping ML models.
- Experience working with cloud platforms such as AWS, GCP, or Azure.
- Strong proficiency in Python.
- Experience with containerization and orchestration tools such as Docker, Kubernetes, or Airflow.
- Experience working with relational databases such as Postgres, Redshift, or SQL Server.
Responsibilities
- Design, prototype, and train machine learning models using data-centric approaches such as automated feature engineering, active learning, and model fine-tuning.
- Develop and maintain scalable data pipelines and feature extraction systems.
- Build and optimize ETL workflows for structured, semi-structured, and unstructured data.
- Design and implement auto-labeling systems leveraging ensemble and vision-based models.
- Write and optimize advanced SQL queries for data extraction and analysis.
- Partner with ML engineers and data infrastructure teams to integrate machine learning workflows into production systems.
- Collaborate across engineering teams and participate in peer code reviews.
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