Data Scientist
Robotics Technologies LLC
San Francisco, CA, United States
4 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$170,560
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Data Analysis
Big Data
Software Code Optimization
Computer Programming
Data Visualization
Distributed Computing Environment
Distributed Systems
Text Processing
Monitoring of Systems
Python (Programming Language)
Machine Learning
+24 more
Natural Language Processing
NumPy
Tensorflow
Standard Sql
Azure Machine Learning
SciPy
Sentiment Analysis
Feature Engineering
Pytorch
Retrieval-Augmented Generation
Flask (Web Framework)
Large Language Models
Apache Spark
Model Validation
Generative AI
Git
Fastapi
Pandas
Matplotlib
Scikit Learn
Plotly
Machine Learning Operations
Text Analysis
Docker
Job description
We are seeking a skilled Data Scientist to develop advanced analytical models, machine learning solutions, and predictive algorithms to solve complex business problems. The ideal candidate should have strong expertise in Python, machine learning, statistical analysis, NLP, and model deployment., * Develop and implement machine learning models for predictive analytics.
- Perform exploratory data analysis and identify patterns in complex datasets.
- Build classification, regression, and clustering models.
- Develop NLP solutions for text processing and sentiment analysis.
- Apply statistical techniques to support data-driven decision-making.
- Perform feature engineering, model selection, and hyperparameter tuning.
- Develop model evaluation frameworks to measure accuracy and performance.
- Work with large datasets using Python and distributed computing tools.
- Deploy machine learning models into production environments.
- Collaborate with data engineers, product teams, and business stakeholders.
- Monitor model performance and implement improvements.
- Present analytical findings and technical recommendations.
Requirements
- Strong programming experience in Python.
- Hands-on experience with Pandas, NumPy, and SciPy.
- Expertise in Scikit-learn and machine learning algorithms.
- Experience with TensorFlow or PyTorch.
- Strong understanding of statistics and probability.
- Experience with NLP and text analytics.
- Knowledge of SQL and database management.
- Experience with data visualization using Matplotlib or Plotly.
- Understanding of feature engineering and model optimization.
- Experience with model deployment using Flask or FastAPI.
- Familiarity with Git, Docker, and ML development workflows.
Preferred Skills
- Experience with Generative AI and Large Language Models (LLMs).
- Knowledge of RAG and vector databases.
- Experience with MLflow and model lifecycle management.
- Familiarity with AWS SageMaker or Azure Machine Learning.
- Knowledge of Apache Spark and distributed data processing.
- Understanding of MLOps and model monitoring.
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