Data Scientist
Summary
Data Scientist with 4+ years of experience designing and deploying data and machine learning solutions that enhance engineering productivity and decision-making. Skilled in Python, SQL, R, and GCP with expertise in LLM-driven systems, Airflow automation, and scalable ML pipelines. Proven ability to partner with product and engineering teams to build applied AI tools that improve developer efficiency, accelerate data workflows, and enable data-informed optimization across large-scale systems.
Expectations
Im looking for a role where I can solve meaningful data problems, drive measurable business impact, and continue strengthening my expertise in machine learning, analytics, and data systems. I value a collaborative environment, exposure to modern tools and scalable infrastructure, and opportunities to own projects end-to-end while contributing to strategic, data-driven decision making. Im especially interested in teams that encourage experimentation, knowledge sharing, and continuous learning, where data science directly influences product, operational, or customer outcomes.
Employment Preferences
Relocation destinations:
- San Francisco, California, United States
- New York City, New York, United States
- Boston, Massachusetts, United States
- Jersey City, New Jersey, United States
- Austin, Texas, United States
Spoken Languages
- English - Fluent
Expected Base Salary
**0,000 USD
Expected Total Compensation
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Programming
- Python
- R
- SQL
- Bash
- Shell
- Tools
- Frameworks
- FastAPI
- Apache Airflow
- Databricks
- Docker
- MLflow
- GitHub Actions
- GCP
- Vertex AI
- BigQuery
- Cloud Functions
- AWS
- S3
- EC2
- Databases
- Libraries
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- XGBoost
- LangChain
- Hugging Face Transformers
- SpaCy
- NLTK
- Pinecone
- Snowflake
- PostgreSQL
- MySQL
- MongoDB
- Visualization
- Looker Studio
- Power BI
- Tableau
- Matplotlib
- Seaborn
- Specialties
- Engineering Productivity Analytics
- ML Workflow Automation
- Applied AI
- LLMs
- RAG
- Scalable Data Systems On GCP
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