Data Science Engineer

Let’s get acquainted! We are TRINETIX — a technology company that helps enterprises and startups globally grow and stay competitive in a digital era. We achieve this by efficiently implementing tech innovation, solid professional expertise, and solution-driven approach.

Weare seeking askilled Data Science Engineer todesign, build, and deploy production machine learning solutions for an enterprise Fleet Cascading &Optimization Platform managing 46,000+ vehicles across 545+locations. Inthis role, you will develop and operationalize demand forecasting, cascading optimization, contract intelligence (NLP/Vision), and out-of-spec prediction models with astrong focus onexplainability and business impact. You will own the end-to-end MLlifecycle— from experimentation and model development toscalable production deployment onAWS— working closely with engineering and business stakeholders todeliver reliable, data-driven outcomes.

• Programming &MLFrameworks:
  Python;
  PyTorch orTensor
  
  Flow; scikit-learn; XGBoost orLight
  
  GBM; pandas;
  Num Py
• Time Series &Forecasting: BSTS;
  Prophet;
  Temporal Fusion Transformer (TFT); hierarchical forecasting with MinT reconciliation
• Optimization:
  Linear Programming and MILP using tools such asPuLP and OR-Tools; constraint satisfaction; min-cost flow optimization

• NLP &Document AI:
  Amazon Textract;
  Layout
  
  LMv3;
  Retrieval-Augmented Generation (RAG) pipelines;
  Amazon Bedrock (Claude);
  Open Search vector databases
• Advanced Machine Learning:
  Graph Neural Networks (GNNs);
  Deep Reinforcement Learning;
  Survival Analysis (Cox Proportional Hazards, XGBoost-Survival); attention-based models
• Explainability &MLOps: SHAP, LIME, Captum; MLflow; A/B testing; champion/challenger frameworks; model and data drift detection

• Build demand forecasting models (XGBoost, BSTS, Temporal Fusion Transformer) with hierarchical reconciliation across 545+ locations
• Develop cascading optimization using MILP/Min-Cost Flow solvers (PuLP, OR-Tools, Gurobi) and Hybrid ML+Optimization pipelines
• Implement document intelligence pipeline:
  Textract + Layout
  
  LMv3 for document extraction, RAG with Bedrock (Claude) for semantic reasoning
• Deploy models onSageMaker with MLOps (Model Monitor, Feature Store, Pipelines); implement SHAP/LIME explainability
• Demand Forecasting:
  Gradient-boosted models (XGBoost), Bayesian Structural Time Series (BSTS), and Temporal Fusion Transformers (TFT), including hierarchical reconciliation
• Cascading Optimization:
  Mixed-Integer Linear Programming (MILP) and Min-Cost Flow models, evolving tohybrid ML + solver approaches and advanced Graph Neural Network (GNN) and Deep Reinforcement Learning (DRL) solutions
• Document Intelligence:
  Automated document extraction using Amazon Textract and Layout
  
  LMv3, advancing to Retrieval-Augmented Generation (RAG) pipelines with Amazon Bedrock and Vision-Language Models
• Survival &Out-of-Spec Prediction:
  Kaplan—Meier estimators, Cox Proportional Hazards models, and XGBoost-Survival techniques

• Continuous learning and career growth opportunities
• Professional training and English/Spanish language classes
• Mental health support
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more
• Inclusive and supportive culture

Established in2011, Trinetix isadynamic tech service provider supporting enterprise clients around the world.

Headquartered in Nashville, Tennessee, wehave aglobal team ofover 1,000 professionals and delivery centers across Europe, the United States, and Argentina. Wepartner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture.

Our operations are driven byastrong business vision, apeople-first culture, and acommitment to responsible growth. We actively give back tothe community through various CSR activities and adhere to international principles for sustainable development and business ethics.