Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 3 Month(s)
Able to Provide Sponsorship
Skills
Amazon Web Services
BERT
Cloud Computing
Data Analysis
Data Manipulation
Data Science
Data Visualization
FOCUS
Google Cloud
Google Cloud Platform
Machine Learning (ML)
NumPy
Pandas
PyTorch
Text Classification
Statistics
Transformer
matplotlib
Workflow
Python
actionable insights
patterns
Seaborn
Job Details
Position: Data Science Consultant
Overview
We are seeking a motivated Data Science Consultant to work with our team. The consultant will assist in developing and implementing machine learning models, with a focus on text classification using transformers, and contribute to data analysis projects to drive actionable insights.
Key Responsibilities
- Develop and fine-tune transformer-based models for text classification tasks using Python and PyTorch.
- Clean, preprocess, and analyze datasets to identify trends, patterns, and actionable insights.
- Collaborate with the data science team to design and implement experiments.
- Create clear visualizations and reports to communicate findings to technical and non-technical stakeholders.
- Assist in optimizing data science workflows and documenting processes.
Required Qualifications
- Strong proficiency in Python and PyTorch for machine learning model development.
- Hands-on experience with transformer models (e.g., BERT, DistilBERT, RoBERTA) for text classification tasks.
- Solid understanding of data science principles, including statistical analysis, data preprocessing, and feature engineering.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn) and libraries for data manipulation (e.g., Pandas, NumPy).
- Ability to interpret and present complex data insights in a clear and concise manner.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field.
Preferred Qualifications
- Experience with cloud-based data science platforms (e.g., AWS, Google Cloud) is a plus.
- Strong problem-solving skills and a proactive approach to learning new technologies.
Duration and Commitment
- 2 months
- Remote or hybrid work arrangement available.
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