Senior Data Scientist

Data Scientist

•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. • Good knowledge on software configuration management systems • Strong business acumen, strategy and cross-industry thought leadership • Awareness of latest technologies and Industry trends • 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 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