Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Skills
python
machine learning models
Data Science
MLOps
cloud infrastructures
cloud Ops
Job Details
Job Title: Data Scientist
Location: Dallas, TX
Duration: Long-Term
Mode: On-site
Job Description:
- 5+ years’ experience
- Independently create and/or Assist lead data scientists in developing various kinds of machine learning models for personalized customer service domain using state of the art ML algorithms such as GBM, XGBoost, Deep Learning etc. on CPU and GPU environments
- Conduct pre-modeling activities such as data clean up, exploratory data analysis, scaling/normalization, feature engineering, etc. with data in Google Cloud Platform ecosystem, notebooks
- Proficient with standard Data Science Libraries such as NumPy, Pandas and Deep learning. In addition, proficiency in libraries for GPUs is a huge plus
- Knowledge of Pytorch or Tensorflow and experience with modern neural NLP approaches is a plus.
- Developing test cases and executing test cases for developed ML models
- Assist in performance/load testing/monitoring of the deployed models
- Documenting the models, features and any decisions made during modeling
- Assist ML engineers during solution deployment on on-prem and AWS for authoring/making changes to API wrappers
- Ability to rapidly learn the current state of the project and independently work with minimal assistance after the initial ramp up time
Even better if you have one or more of the following:
- Understand basic data science concepts and common needs from data scientists.
- Strong collaboration skills and communication skills, especially when involving (non-tech) business stakeholders.
- Experience with cloud infrastructures/cloud Ops
- Familiar with CI/CD process and common frameworks.
- Familiar with MLOps/DevOps.