Referso Jobs

Data Scientist

Sahaj Software · Posted Oct 27, 2026

Open

Bengaluru, Karnataka, India
5+ years

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Data Scientist

Sahaj Software · Posted Oct 27, 2026

Open

Bengaluru, Karnataka, India
5+ years

Apply with RefersoAI Apply on careers page

Data Scientist

Morgan Stanley · Posted Nov 5, 2026

Open

Budapest, Budapest, Hungary
Hybrid
Full-time · Director
6+ years

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Data Scientist at Director level responsible for the development of statistical and machine learning models to identify, assess, and mitigate fraud risk across Morgan Stanley products.

Responsibilities

Independently execute end-to-end model development, including technical documentation.
Develop and evaluate models for highly imbalanced, non-stationary, and adversarial environments where fraud patterns, customer behaviour, and operational processes evolve over time.
Apply statistical and mathematical principles to model selection, validation, and performance assessment, including the treatment of class imbalance, overfitting, data leakage, missing data, and model stability.
Monitor deployed models, diagnose performance degradation, assess emerging fraud patterns, and recommend recalibration, redevelopment, threshold changes, or retirement as appropriate.
Provide technical guidance and mentoring to junior Data Scientists and Data Engineers.

Requirements

Nice to have: Hadoop
Nice to have: Hive
Nice to have: Impala
Nice to have: Spark
Nice to have: PySpark

Skills

Python SQL Statistical inference

Machine Learning Engineer

Amgen · Posted Nov 3, 2026

Open

Hyderabad, Telangana, India
5–8 years

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Design, develop, deploy, and support scalable machine learning solutions using AWS and MLOps practices.

Responsibilities

Design, develop, train, evaluate, and deploy predictive machine learning models
Perform data exploration, preprocessing, feature engineering, and model experimentation
Build reusable machine learning pipelines covering data ingestion, training, validation, deployment, monitoring, and retraining
Develop forecasting solutions using historical data and time‑series techniques
Optimize model performance through hyperparameter tuning and cross‑validation

Requirements

Master’s
Bachelor’s
Nice to have: Advanced time‑series forecasting
Nice to have: Natural language processing
Nice to have: Computer vision

Skills

Python SQL Scikit-learn PyTorch TensorFlow XGBoost AWS SageMaker

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