Data Scientist

Responsibilities

• - Programming Languages: Proficiency in Python (especially for data science, AI Models, Datasets, and Training) is a must.

• - Machine Learning: Familiarity with machine learning algorithms and their applications in data science is becoming increasingly important.

• - Mastering Asterisk is a must.

• - Familiarity with SQL for database querying

• - Matering Git Version Control

• - Statistical Knowledge: A solid understanding of statistical concepts like hypothesis testing, regression analysis, and probability is essential.

• - Data Wrangling: Ability to clean, manipulate, and transform data from various sources to prepare it for analysis.

• - Data Visualization: Expertise in using tools like Tableau or libraries like matplotlib to create clear and impactful visualizations that communicate insights effectively.

• - Mastering NLP, Text Generation, Question Answer, Sentiment Analysis, Library Tensorflow and Transformer

Requirements

• Minimum 1 Year Experience in a related field.

• A Bachelor's degree in a quantitative field like Computer Science, Statistics, or Mathematics is generally preferred.

• A Master's degree in Data Science or a related field can be advantageous.

• Experience in a data-related role, such as data analyst, is a plus.

• The amount of experience required can vary depending on the specific job role and seniority level.