Senior Data Science Engineer

We are seeking a skilled Data Science Engineer to design, build, and deploy production machine learning solutions for an enterprise Fleet Cascading & Optimization Platform managing 46,000+ vehicles across 545+ locations. In this role, you will develop and operationalize demand forecasting, cascading optimization, contract intelligence (NLP / Vision), and out-of-spec prediction models with a strong focus on explainability and business impact. You will own the end-to-end ML lifecycle — from experimentation and model development to scalable production deployment on AWS—working closely with engineering and business stakeholders to deliver reliable, data-driven outcomes.

Must-Have Requirements

• Programming & ML Frameworks : Python; PyTorch or TensorFlow; scikit-learn; XGBoost or LightGBM; pandas; NumPy
• Time Series & Forecasting : BSTS; Prophet; Temporal Fusion Transformer (TFT); hierarchical forecasting with MinT reconciliation
• Optimization : Linear Programming and MILP using tools such as PuLP and OR-Tools; constraint satisfaction; min-cost flow optimization
• AWS ML Stack : Amazon SageMaker (Training Jobs, Endpoints, Model Monitor, Clarify, Feature Store, Pipelines)

Nice-to-have

Core Responsibilities

Models You’ll Build

What we offer

About Us

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world.

Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture.

Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.

To learn more about how we collect, process, and store your personal data, please review our Privacy Notice :   https : / / www.trinetix.com / corporate-policies / privacy-notice