Data Scientist

Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. We're hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact.

Requirements

• Translate business questions into ML problem statements
• Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints
• Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses
• Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices
• Train and tune supervised learning models for tabular data
• Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation
• Build time series models (statistical and ML/DL approaches) and validate with proper backtesting
• Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness
• Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making
• Build and train deep learning models using PyTorch or TensorFlow/Keras
• Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports
• Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence
• Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration
• Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans
• Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders
• Create documentation and lightweight demos that make results actionable

Benefits

• Competitive salary
• Generous Paid Time Off
• 401k Matching
• Retirement Plan