About this role
Basic Qualifications:
- Technical bachelor's degree from an accredited institution
- Minimum of 5 years of experience in Information Technology
- 2+ years prior experience in analytics and/or data science
- Working knowledge of SQL and Python
- Strong grasp of linear algebra, statistics, optimization techniques, and algorithm design.
- Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position
- Exposure to data engineering/data pipeline development
Preferred Qualifications:
- Bachelor’s degree in data science or artificial intelligence
- Experience using the following python packages Machine Learning - TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
- Data Manipulation and visualization - Pandas, NumPy, and data visualization libraries such as Matplotlib or Seaborn.
- Familiarity with cloud platforms (Oracle, AWS, Google Cloud, Azure) and deployment tools like Docker and Kubernetes. Specifically, Oracle Cloud Infrastructure a plus.
- Familiarity with integrating cloud technologies with legacy applications
- Creating architecture with network segmentation in mind.
- Experience with NLP libraries such as SpaCy, NLTK, or Hugging Face Transformers is advantageous.
- Exposure to Python data packages and streaming technology, such as PySpark, Kafka, Apache Airflow and delta loading.
Salary Range: $90k - $115k/year approximation (actual compensation is subject to variation due to factors such as education, experience, skillset, and/org location).