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Senior Data Scientist - Machine Learning

Senior Data Scientist - Machine Learning

Empaxis Data Management India Private LimitedNoida
30+ days ago
Job description

Key Responsibilities :

  • Machine Learning Model Lifecycle : Design, develop, deploy, and optimize various machine learning models (supervised, unsupervised, and reinforcement learning) to address complex business challenges.
  • Data Analysis & Insight Generation : Conduct in-depth analysis of complex datasets, identifying patterns, trends, and actionable insights that drive data-driven strategies and decision-making.
  • Cross-functional Collaboration : Collaborate effectively with cross-functional teams, including engineers, product managers, and business stakeholders, to define problem statements, translate requirements, and integrate data science solutions into production systems.
  • Research & Innovation : Stay current with the latest advancements, trends, and research in machine learning, artificial intelligence, and data science. Experiment with new technologies and methodologies to continuously enhance our capabilities.
  • Communication & Presentation : Clearly present complex analytical findings, model performance, and strategic recommendations to technical and non-technical audiences.
  • Code Quality & Best Practices : Write clean, efficient, and well-documented code, adhering to best practices in data science and software Skills & Qualifications :
  • 5-8 years of professional experience in data science, machine learning engineering, or a closely related analytical role.
  • Proficiency in Python (preferred) or R programming languages, with extensive experience utilizing

relevant data science and machine learning libraries such as :

  • scikit-learn
  • XGBoost
  • TensorFlow
  • PyTorch
  • Strong theoretical and practical understanding of various machine learning paradigms, including supervised learning, unsupervised learning, and reinforcement learning.
  • Solid experience with data manipulation, cleaning, and feature engineering.
  • Ability to analyze complex datasets and extract meaningful insights.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication and interpersonal abilities, capable of collaborating effectively within diverse teams.
  • Willingness and ability to work in rotational shifts.

    • ref : hirist.tech)

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