Data Scientist

RTS CORP; Dallas (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm in logistics is seeking a Data Scientist to develop predictive and generative AI models. You will work on enhancing cargo pricing and routing optimization using tools like Python and SQL. The ideal candidate has 3+ years in data science, strong machine learning skills, and familiarity with Generative AI applications. This position offers an opportunity to influence automation within the airline logistics ecosystem.

Qualifications

• 3+ years of professional experience in data science or applied machine learning.
• Hands-on experience with NLP frameworks (spaCy, Hugging Face Transformers, LangChain, etc.).
• Solid command of SQL for querying and managing large datasets.

Responsibilities

• Build, train, and deploy machine learning and deep learning models for forecasting.
• Design and implement Generative AI applications such as chatbots and intelligent document retrieval systems.
• Develop and orchestrate multi-agent systems for automating complex cargo processes.

Skills

Python

SQL

Machine Learning

Generative AI

Statistics

NLP frameworks

Data visualization tools

Education

Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field

Tools

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

AWS

GCP

Azure

Docker

MLflow

FastAPI

Job description

We are seeking a Data Scientist with strong expertise in Python, SQL, and Machine Learning, and a working background in Generative AI, Retrieval-Augmented Generation (RAG), and Multi-Agent Frameworks. The ideal candidate will work on developing predictive and generative AI models that enhance cargo pricing, forecasting, routing optimization, and intelligent automation across the airline logistics ecosystem.

Key Responsibilities

• Build, train, and deploy machine learningand deep learningmodels for forecasting, optimization, and decision support.
• Design and implement Generative AI applicationssuch as chatbots, knowledge assistants, and intelligent document retrieval systems using RAG pipelines.
• Develop and orchestrate multi-agent systemsfor automating complex cargo processes (pricing, scheduling, customer insights, etc.).
• Leverage statistical modelingand data miningto uncover actionable insights from large-scale cargo, operations, and route datasets.
• Collaborate with cross-functional teams (engineering, product, and domain experts) to translate business challenges into AI-driven solutions.
• Perform data cleaning, feature engineering, and pipeline automation for model deployment and monitoring.
• Continuously explore new LLM, agentic AI, and MLOpstools for faster experimentation and production scaling.

Required Skills & Qualifications

• Bachelor’s or Master’s from degree in Computer Science, Data Science, Statistics, or related field.
• 3+ years of professional experience in data science or applied machine learning.
• Strong proficiency in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
• Solid command of SQL for querying and managing large datasets.
• Strong foundation in Statistics, Probability, and Linear Algebra.
• Hands-on experience with NLP frameworks (spaCy, Hugging Face Transformers, LangChain, etc.).
• Practical experience with Generative AI, RAG pipelines, LLM fine-tuning, and AI Agents (e.g., LangChain, LlamaIndex, OpenAI APIs).
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, MLflow, FastAPI, etc.) is a plus.
• Excellent problem-solving, analytical thinking, and communication skills.

Preferred Skills

• Experience in airline, logistics, or transportation data.
• Knowledge of optimization algorithmsfor pricing, scheduling, and route generation.
• Exposure to data visualizationtools (Power BI, Tableau, Plotly).
• Understanding of MLOpstools (MLflow, Kubeflow, Airflow, or Azure ML).