About this role
Data Scientist / Data Analytics Engineer at Employer. Location: United States. Role: designing models, productionizing models, building pipelines Requirements: Expertise in advanced analytics, statistical modeling, AWS data platform, SQL and Python, experience in transportation/logistics domain, productizing customer-facing analytics, and mentoring peers. Category: Data and Analytics Seniority: Senior Level Tools: Amazon Redshift, S3, Glue, Lambda, Step Functions, Kinesis, MSK, EMR, Athena, SageMaker, SQL, Python, pandas, scikit-learn, statsmodels, XGBoost, LightGBM, PyTorch, TensorFlow, Jupyter, Airflow, Git, Terraform, CloudFormation, QuickSight, Power BI, Looker, MLflow Commitment: Full Time Workplace: Remote Languages: English