Associate Data Scientist || Gurgaon || Hybrid Work Mode

6 days ago


Gurgaon Haryana, India Michael Page Full time

We are looking for an Associate Data Scientist to join our Analytics team The ideal candidate will contribute to data-driven solutions leveraging statistical models and machine learning techniques to solve complex problems Develop and implement predictive models using machine learning algorithms Problem solving and logical thinking to automate and improve internal processes Using various tools such as SQL and Python for managing the various requirements for different data asset projects Ability to diligently involve in activities like Data Cleaning Retrieval Manipulation Analytics and Reporting Analyze large datasets to extract meaningful insights and trends Collaborate with cross-functional teams to understand business objectives and deliver data-driven solutions Prepare and present data visualizations to communicate findings effectively Ensure data accuracy and maintain data quality throughout the analysis process Work on feature engineering and data preprocessing tasks to enhance model performance Opportunity to work with a fast growing company in the technology space Stable work environment and growth opportunities A successful Associate Data Scientist should have A degree in data science computer science statistics or a related field 3-6 years of relevant work experience Advanced understanding of Statistics and NLP Experienced in leveraging Python SQL and NLP and Model development Strong knowledge of machine learning techniques and statistical analysis Proficiency in programming languages such as Python or R The hiring company is a growing player in the Technology Telecoms industry specializing in delivering top-notch services It is a small-sized organization known for its innovation in analytics and focus on providing impactful solutions to its clients Competitive salary Opportunity to work in a growing organization in the Technology Telecoms industry Exposure to the latest analytics tools and technologies Supportive work environment fostering professional growth



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