Infosys

Data Scientist

Posted On

Oct. 1, 2024

Location

Bangalore, Karnataka

Experience Level

9 - 11 Years Exp.

Job Type

Permanent

Apply By

Dec. 31, 2024

Job Description

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, 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. Educational Requirements Master Of Technology,Master Of Comp. Applications,Master Of Science,Master Of Engineering,Bachelor Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering Additional Responsibities: • 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 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.

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