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.

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
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

Data Scientist

Job description