Senior Data Scientist
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 machine learning predictive analytics natural language processing AI techniques
- Build automated dashboards scorecards and self service analytics
- Collaborate with data engineering to define requirements and optimize pipelines
- Communicate insights through executive presentations dashboards and visualizations
- Design and execute experiments hypothesis testing statistical analyses
- Ensure regulatory security compliance and model governance adherence
- Establish data science machine learning experimentation and MLOps best practices
- Lead machine learning model design development validation deployment monitoring
- Lead quantitative research and proof of concept initiatives
- Manage model lifecycle including feature engineering training validation deployment monitoring retraining and optimization
- Mentor junior data scientists and provide technical leadership
- Operationalize machine learning and analytics solutions
- Partner with stakeholders to translate business objectives into data solutions
Perks/Benefits
Skills/Tech-stack
AI Agents | AWS | Apache Spark | Automl | Classification | Clustering | Databricks | Feature Engineering | Generative AI | Gradient boosting | Hadoop | K-Means | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Matplotlib | Model Registry | NLP | Natural Language | Natural Language Processing | NumPy | Pandas | Plotly | Predictive Modeling | PySpark | Python | R | RAG | Random Forest | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Tableau | XGBoost
Education
Roles
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