Data Scientist

MACHINE LEARNING TECHNOLOGIES LLC; Fort Worth (TX); Presencial; USD 90.000 - 128.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies LLC in Fort Worth seeks a senior Data Scientist/ML Engineer to move models from prototype to production and to build scalable ML solutions for customer intelligence initiatives. A strong Python background and end-to-end ML lifecycle experience are essential.

You will deploy and monitor models in cloud or Databricks environments, working with data engineers to optimize performance and enable analytics across multiple business units.

Formación

• Master’s or PhD in a quantitative field.
• 5+ years of relevant professional experience.
• Strong Python programming.
• Production-grade code experience.
• Experience deploying ML models.

Responsabilidades

• Develop and productionize ML models and pipelines.
• Refactor and optimize production-quality Python code.
• Deploy, monitor, and troubleshoot ML workflows in cloud/Databricks.
• Analyze large datasets to support BI initiatives.
• Collaborate with data scientists and engineers to scale solutions.

Conocimientos

Python programming

Production-grade code

ML lifecycle

Data extraction

Statistics

Model deployment

Cloud environments

Databricks

Spark

Model monitoring

Educación

Master's or PhD in Data Science/CS/Stats

Herramientas

Databricks

Spark

MLflow

CI/CD

Tableau

Power BI

Azure

Descripción del empleo

Job Description

• Job ID: J54571
• Job Title: Data Scientist
• Location: Fort Worth, TX
• Duration: 12 months + Extension
• Domain Exposure: Telecom
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
• Bill Rate: $79/hour (C2C)

Job Overview

Our client is seeking a Senior Machine Learning Engineer/Data Scientist to join a centralized Machine Learning team supporting multiple business units. This role will focus on taking machine learning models and pipelines from prototype to production, improving existing codebases, optimizing performance, and building scalable ML solutions for the Customer Intelligence CBI productionization initiative.

The ideal candidate will have strong production-grade Python experience, hands‑on expertise with the complete machine learning lifecycle, and experience deploying and monitoring models in cloud or Databricks environments.

Required

• Master’s or PhD degree in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field.
• At least 5+ years of relevant professional experience.
• Strong hands‑on experience with Python programming.
• Experience writing modular, testable, maintainable, and production-grade code.
• Practical experience with data extraction, cleaning, transformation, and analysis.
• Strong understanding of statistical and machine learning techniques.
• Hands‑on experience developing and productionizing machine learning pipelines.

Preferred

• 10+ years of experience in a technical professional environment.
• Experience with Databricks and Spark-based machine learning pipelines.
• Experience deploying machine learning models to production environments.
• Experience with ML orchestration, monitoring, and optimization.
• Knowledge of SQL and experience working with large-scale datasets.
• Experience with ML lifecycle tools such as MLflow, CI/CD pipelines, and model-monitoring platforms.
• Experience with Azure or other cloud platforms.
• Experience with parallel processing and distributed computing.
• Experience creating dashboards or data visualizations using Tableau or Power BI.
• Airline or transportation industry experience.

Responsibilities

• Develop, refactor, test, and optimize production-quality Python code for machine learning applications.
• Design, build, deploy, and maintain machine learning models and pipelines.
• Productionize ML workflows, including model deployment, orchestration, monitoring, optimization, and troubleshooting.
• Extract, clean, transform, and analyze large datasets to support business and customer intelligence initiatives.
• Apply statistical methods, machine learning techniques, and feature engineering to improve model performance.
• Work with data scientists, data engineers, product partners, and business stakeholders to deliver scalable ML solutions.
• Improve existing codebases, pipelines, and system integrations for reliability, maintainability, and performance.
• Debug technical issues and conduct performance tuning across the ML lifecycle.
• Use cloud platforms and parallel-processing technologies to scale model development and deployment.
• Document technical solutions and communicate findings clearly to both technical and non-technical audiences.
• Support quality, innovation, scalability, and measurable business or revenue impact across the organization.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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