Data ScientistCynet Systems • Fort Worth, TX
Data Scientist
Cynet Systems • Fort Worth, TX
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]
Job Description:
Basic Qualifications:
Job Description:
Basic Qualifications:
- Minimum 6 years of experience with building optimization algorithms or relevant experience.
- Advanced proficiency in programming languages such as Python, R, SQL, and Java.
- Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively.
- In-depth experience with data science cloud platforms and their integration into business solutions.
- Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment.
- Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.
- Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism.
- Deep understanding and application of statistical analysis and advanced machine learning techniques.
- Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms)
- Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies.
- Experience with Vector Databases and embeddings.
- Experience with Model Fine-tuning.
- Experience with GPU optimization.
- Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus.
- Knowledge of geospatial analytics, route optimization, and GIS concepts.
- Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions.
- Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector.
- Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives.
- Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level.
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