Hybrid Senior Data Scientist – Machine Learning

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About the role

  • Design, develop, and validate machine learning models that solve complex business problems through data
  • Translate functional and strategic requirements into predictive, prescriptive, and analytical solutions
  • Lead the end-to-end model lifecycle — from data exploration and feature engineering to deployment and monitoring
  • Collaborate with architects and engineers to ensure seamless integration of models into production environments
  • Apply best practices in MLOps, ensuring models are traceable, reproducible, and governed throughout their lifecycle
  • Evaluate and optimize model performance using robust metrics and explainability techniques
  • Document, communicate, and present insights clearly to both technical and business audiences
  • Mentor junior data scientists, promoting technical excellence, innovation, and a culture of learning within the Hub

Requirements

  • 4+ years of experience developing predictive models and advanced analytics solutions in business contexts
  • Proven expertise across the entire model lifecycle — data preparation, modeling, validation, evaluation, and deployment
  • Strong programming skills in Python and core ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, StatsModels)
  • Solid foundation in statistical analysis, supervised and unsupervised learning, regression, classification, clustering, anomaly detection, and forecasting
  • Experience with feature engineering, data transformation, and data augmentation for model improvement
  • Knowledge of MLOps and CI/CD for models, using tools such as MLflow, DVC, Airflow, Kubeflow, or Vertex Pipelines
  • Skilled in model evaluation and optimization (ROC, AUC, F1, RMSE, SHAP, explainability techniques)
  • Familiarity with DataOps principles, APIs, ETL pipelines, and relational or NoSQL databases
  • Understanding of AI governance, privacy, and compliance frameworks (GDPR, Responsible AI)

Benefits

  • Professional development opportunities
  • Employee learning programs that give access to the best learning in the industry
  • Company-wide volunteering and giving platform

Job title

Senior Data Scientist – Machine Learning

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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