Data Science Manager
Columbia, MD, United States
USD 120K-159K (estimate) Mid-level Full Time
Tasks
- Build RAG pipelines
- Build data pipelines and ETL processes
- Collaborate with product engineering and MLOps
- Collect, clean, and integrate large datasets
- Conduct A/B testing
- Deploy models using APIs
- Design and implement generative AI solutions with LLMs
- Develop evaluation frameworks for LLM systems
- Develop monitoring for grounding factuality latency and cost
- Develop predictive models
- Document model results for clients
- Implement agentic workflows
- Implement safety and reliability measures
- Manage people
- Manage project plans milestones risks owners and contingencies
- Optimize marketing campaign performance
- Optimize prompt design and pipelines
- Perform exploratory data analysis and statistical modeling
- Translate business needs into data science solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | APIs | Agentic Workflows | Agile | Amazon SageMaker | B testing | Batch Processing | Clickstream analytics | Data Analysis | Data Mining | Data Pipelines | Direct marketing | ETL | Email Marketing | Generative AI | Kubeflow | Language Models | Large Language Models | Learning operations | MLOps | MLflow | Machine Learning | Machine Learning Operations | NLTK | Pandas | Predictive Modeling | Prompt engineering | Python | RAG | Recommendation Systems | Retrieval-Augmented Generation | SQL | Scikit-learn | Spacy | Spark | Statistical modeling | Streaming | Transformers
Education
N/A
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