Data Scientist

9 - 11 years

7 - 11 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Educational Requirements

Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Comp
  • Applications,Master Of Technology,Master Of Engineering,Master Of Comp
  • Applications
  • Service Line

    Engineering Services

    Responsibilities

    Master''s degree in Computer Science, Statistics, Mathematics, or a related field
  • - 7+ years of experience in data science and machine learning with a strong focus on model development and deployment
  • - Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference
  • - In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees
  • Additional Responsibilities:

    - Good knowledge on software configuration management systems - Strong business acumen, strategy and cross-industry thought leadership - Awareness of latest technologies and Industry trends - Logical thinking and problem solving skills along with an ability to collaborate - Two or three industry domain knowledge - Understanding of the financial processes for various types of projects and the various pricing models available - Client Interfacing skills - Knowledge of SDLC and agile methodologies - Project and Team management

    Technical and Professional Requirements:

    - Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques
  • - Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD)
  • - Experience with data warehousing and data lakes solutions like BigQuery or Snowflake
  • - Familiarity with real-time data processing and streaming analytics
  • - Passion for learning and staying at the forefront of data science and machine learning advancements
  • Preferred Skills:

    Technology->Analytics - Techniques->Cluster Analysis
    Technology->Analytics - Techniques->Decision Trees
    Technology->Analytics - Techniques->Linear Regression
    Technology->Machine Learning->Python

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