Job Title: Data Scientist (Python, SQL)
Location: Dallas, TX (Locals preferred)
Job Type: Contract
Job Description
- Build end-to-end ML Engg pipelines for the Sales Incentive Elasticities models
- Build ML model features and support data science to build robust data pipelines on large marketing datasets from different sources
- Collaborate with TMNA ML Engineering to build ML Pipelines to Train, Test, Deploy, Serve and Monitor models, Tune Hyperparameters, detect model and data drift and resolve issues
- Write unit test cases, validation checks, technical documentation, and user stories as per requirements
Required Skills
- Experience in different phases of ML engg like model training, scheduling, workflow orchestration and deployment
- Proficient in Python, MLFlow, SK Learn Pipelines, Jupyter Notebooks, GitHub Actions, Airflow, and SQL
- Experience working in cloud platforms like AWS, and Big data technologies
- Hands-on experience with building ML Engg pipelines and validations
- Knowledge of Dash Plotly and related visualization packages.