Oxygent Consulting Service Hiring Drive 2024 For Data scientist For leading MNC

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Oxygent Consulting Service Hiring Drive 2024: Oxygent Consulting Service Hiring Drive 2024 for its Data scientist For leading MNC. Oxygent Consulting Service Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: Oxygent Consulting Service

Role: Data scientist For leading MNC

Location: Across India

Experience: 0 – 5 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: 6-16 Lacs P.A.

Oxygent Consulting Service Hiring Drive 2024

Job Description:

  • Data Collection: Gathering data from various sources such as databases, APIs, web scraping, etc.
  • Data Cleaning and Preprocessing: Ensuring data quality by identifying and correcting errors, handling missing values, and transforming data into a suitable format for analysis.
  • Exploratory Data Analysis (EDA): Conducting preliminary analysis to understand the characteristics of the data, identify patterns, correlations, and anomalies.
  • Statistical Analysis and Modeling: Applying statistical techniques and machine learning algorithms to develop predictive models, classification systems, or other data-driven solutions to business problems.
  • Feature Engineering: Selecting, extracting, or creating relevant features from raw data to improve model performance.
  • Model Evaluation and Validation: Assessing the performance of predictive models using appropriate metrics and techniques such as cross-validation, ROC curves, etc.
  • Data Visualization: Communicating insights effectively through data visualization techniques such as charts, graphs, and dashboards.
  • Deployment and Integration: Integrating developed models into production systems and ensuring they operate effectively in real-world environments.
  • Continuous Learning and Improvement: Keeping up-to-date with advancements in data science techniques, tools, and technologies, and applying them to improve existing processes and solutions.
  • Collaboration and Communication: Working closely with cross-functional teams including business stakeholders, software engineers, and domain experts to understand requirements, gather feedback, and deliver actionable insights.


  • Data Science
  • Tensorflow
  • Algorithm Development
  • Natural Language Processing
  • Neural Networks
  • Deep Learning

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