Data Scientist

TechDigital Group; Fort Worth (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology solutions company located in Fort Worth, Texas, seeks a professional with extensive Machine Learning and Deep Learning experience. The ideal candidate should have at least 6 years in building optimization algorithms and advanced proficiency in programming languages such as Python and R. A strong track record in data visualization and integrating data science cloud platforms into business solutions is essential. This role is ideal for someone who is intellectually curious and thrives in a collaborative team environment.

Qualifications

• Minimum 6 years of experience with building optimization algorithms.
• Demonstrated expertise in utilizing data visualization tools.
• Strong communication skills to articulate technical concepts.

Skills

Machine Learning and Deep Learning experience

Programming languages (Python, R, SQL, Java)

Data visualization tools

Data science cloud platforms

Statistical analysis

Prompt engineering techniques

Education

Bachelor's degree in Operations Research, Computer Science, Industrial Engineering or related field

Ph.D. in relevant field

Job description

Job Summary

Mandatory Skills: Machine Learning and Deep Learning experience

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.

Preferred Qualifications

• 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.