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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchScalaScikit-LearnSparkSQLTensorflow
About the role
Key responsibilities & impact- Design and deliver advanced analytical and machine learning solutions
- Develop and deploy machine learning models for financial use cases
- Perform exploratory data analysis on structured and unstructured datasets
- Design scalable machine learning pipelines
- Lead model validation and regulatory compliance
- Present insights and recommendations to senior stakeholders
Requirements
What you’ll need- 8–10 years of experience for Senior Data Scientist role
- 5–7 years of experience for Mid-Level Data Scientist role
- Strong programming skills in Python (mandatory)
- Optional knowledge in R or Scala
- Experience with machine learning frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost
- Familiarity with SQL, Spark, Hive, and Big Data ecosystems
- Knowledge of cloud platforms such as AWS, Azure, Google Cloud Platform (GCP)
Benefits
Comp & perks- Health insurance
- Retirement plans
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata analysisPythonRScalaScikit-learnTensorFlowPyTorchXGBoostSQL
Soft Skills
leadershipcommunicationpresentation
