Data Analyst

2 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Title: Data Analyst


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About the Role


Data Analyst


What You'll Do


  • Be the powerhouse behind scalable and efficient solutions that span across a broad spectrum of fintech sectors—be it lending, insurance, investments.
  • Our work isn't confined to a single domain. We tackle a diverse set of problem statements, from computer vision and tabular data to natural language processing, speech recognition, and even Generative AI. Each day brings a new challenge and a new opportunity for breakthroughs.


What You'll Bring


  • Bachelor's or Master's in Engineering or equivalent.
  • 2+ years of Data Science/Machine Learning experience.
  • Strong knowledge in statistics, tree-based techniques (e.g., Random Forests, XGBoost), machine learning (e.g., MLP, SVM), inference, hypothesis testing, simulations, and optimizations.
  • Bonus: Experience with deep learning techniques; experience in working Ad domain/reinforcement learning.
  • Strong Python programming skills and experience in building Data Pipelines in PySpark, along with feature engineering.
  • Proficiency in pandas, scikit-learn, Scala, SQL, and familiarity with TensorFlow/PyTorch.
  • Understanding of DevOps/MLOps, including creating Docker containers and deploying to production (using platforms like Databricks or Kubernetes).

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