Data Scientist Post by Infosys

February 26, 2024
Data Scientist Post by Infosys

Job Description


  • 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, random forests, xgboost, and ensemble learning.
  • Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow.
  • Experience with cloud computing platforms, particularly Google Cloud Platform (GCP).
  • Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau.
  • Strong communication and presentation skills, both written and verbal.

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:

  • Python
  • Analytics->Linear Regression
  • Analytics->Decision Trees
  • Analytics->Cluster Analysis

Generic Skills:

  • Bigdata->Python
  • Analytics

Work Experience:

  • 9-11 Years

Additional Responsibilities:

  • Competitive salary and comprehensive benefits package.
  • Opportunity to work on challenging and innovative data science projects that have a real impact on the business.
  • Chance to collaborate with industry experts and contribute to cutting-edge data science solutions.
  • Professional development opportunities and training programs.
  • Collaborative and supportive team culture.
  • 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

Educational Requirements:

  • Master of Computer Science,Master Of Technology,Master Of Comp. Applications,Master Of Engineering,Bachelor Of Science,Bachelor Of Comp. Applications,Bachelor Of Technology,Bachelor of Engineering

Service Line:

  • Engineering Services