Data Science Manager
Tasks
- Align methodology deliverables and project roadmaps
- Build data pipelines and ETL using SQL Spark
- Build stateful agentic systems with external APIs
- Collect, clean, and integrate datasets
- Create evaluation frameworks for grounding factuality latency and cost
- Deploy generative AI models with API batch or streaming
- Design and implement production AI solutions with LLMs
- Document model results and support model deployment
- Implement safety and reliability measures
- Optimize marketing campaigns with machine learning
- Optimize prompt design workflows and pipelines
- Partner with stakeholders on business problems
- Run A B tests to improve campaign performance
- Train, validate, and tune predictive models
- Translate business needs into data science solutions
Perks/Benefits
- 401k
- Commuter benefits
- Dental insurance
- Disability coverage
- EAP
- Life insurance
- Medical insurance
- PTO
- Paid Holidays
- Spending accounts
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | API | AWS S3 | Agentic Workflows | Agile | Amazon Redshift | Amazon SageMaker | B testing | Clickstream analytics | Cloud Computing | Cloud platform | Data Analysis | Data Pipelines | ETL | Generative AI | Google Cloud | Google Cloud Platform | Kubeflow | Language Models | Large Language Models | ML Ops | MLflow | Machine Learning | Microsoft Azure | NLTK | Pandas | Prompt engineering | Python | Recommendation Systems | Retrieval-Augmented Generation | SQL | Scikit-learn | Spacy | Spark | Transformers
Education
N/A
Roles
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