Translate complex AI concepts into actionable business insights.
Essential knowledge, skills and abilities
Strong verbal and written communications skills and ability to interact with customers, vendors, other IT professionals, and management; can communicate technical information effectively across all levels of the organization
Practices continuous learning, interested in learning and mastering new technologies and techniques to improve processes and systems
Sound decision making, capable of resolving open items swiftly and efficiently
Strong aptitude to plan and prioritize own work to manage multiple priorities and meet deadlines
Solid project management and organizational skills including documenting and optimizing processes
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).
