Data Scientist
Infosys
- Thiruvananthapuram, Kerala
- Permanent
- Full-time
- 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.
- 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
- 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.