Data Scientist Sr Lead
US GA ATL 201 STE 900, United States
USD 110K-186K (estimate) Senior-level Full Time
Tasks
- Analyze and mine structured and unstructured datasets
- Apply predictive analytics machine learning natural language processing and AI
- Collaborate with data engineering on data requirements and pipelines
- Communicate analytical findings with dashboards and visualizations
- Create automated dashboards and scorecards
- Design and execute experiments hypothesis testing statistical analyses
- Develop test and operationalize analytics and machine learning solutions
- Drive proof of concept initiatives including generative AI
- Ensure regulatory security compliance and model governance standards
- Establish data science machine learning experimentation model governance and MLOps best practices
- Lead machine learning model development validation deployment monitoring
- Lead quantitative research initiatives
- Manage machine learning model lifecycle and performance optimization
- Mentor and develop junior data scientists
- Translate business objectives into data-driven solutions
Perks/Benefits
Skills/Tech-stack
AWS | Automl | Classification | Cloud technologies | Clustering | Databricks | Feature Engineering | Generative AI | Gradient boosting | Hadoop | K-Means | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Matplotlib | Model Registry | NLP | Natural Language | Natural Language Processing | NumPy | Pandas | Plotly | Predictive Analytics | PySpark | Python | R | RAG | Random Forest | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Spark | Tableau | XGBoost
Education
Roles
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