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Senior Data Scientist

Senior Data Scientist

InfoCeptspune, India
15 hours ago
Job description

About the Role :

Key Result Areas and Activities :

  • Model Development & Analysis : Develop machine learning models for classification, regression, and forecasting tasks using Python and relevant libraries.
  • Data Preparation & Feature Engineering : Clean, transform, and prepare structured and unstructured data for modeling and analysis.
  • Business Collaboration : Work with business stakeholders to understand requirements and translate them into data science solutions.
  • Model Evaluation & Reporting : Evaluate model performance using appropriate metrics and present findings through visualizations and reports.
  • Deployment Support : Collaborate with engineering and MLOps teams to support model deployment and monitor performance in production.

Work and Technical Experience

Must Have Skills

  • Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Experience with machine learning techniques and model development.
  • Knowledge of data preprocessing, feature engineering, and model evaluation.
  • Familiarity with SQL and data querying.
  • Exposure to cloud platforms (AWS / GCP / Azure) and version control (Git).
  • Ability to work with large datasets and distributed computing frameworks (e.g., Spark).
  • Strong problem-solving and analytical thinking.
  • Good To Have Skill

  • Experience with deep learning frameworks (TensorFlow, PyTorch).
  • Knowledge of PySpark or Databricks.
  • Understanding of MLOps practices and CI / CD pipelines.
  • Exposure to GenAI or LLM-based applications.
  • Experience in supply chain, operations, or financial analytics domains.
  • Qualification :

  • Experience : 3–5 years of experience in data science, machine learning, or analytics roles.
  • Education : Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Master’s degree is a plus.
  • Qualities :

  • Curiosity and eagerness to learn new technologies.
  • Strong communication and collaboration skills.
  • Attention to detail and commitment to quality.
  • Ability to work independently and in teams.
  • Adaptability in fast-paced environments.
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