Data Scientist Post by Infosys

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.

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