Senior Data Scientist (Computer Vision)

As a Senior Data Scientist focusing on Computer Vision, your role will involve the following responsibilities: - Experience of working with computer vision, Python, R, SQL, and NoSQL. - Must have experience with Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI). - Recommend the appropriate data science modeling technique based on the dataset to solve business problems. - Generate data insights using models such as Forecasting, Prediction, etc. - Experience with Extract, Load, Transform (ELT) tools and data collection methods. - Utilize critical thinking skills for data visualization, ideation, and brainstorming. Qualifications required: - Minimum 6 years of total experience. - Proficiency in computer vision, Python, R, SQL, and NoSQL. - Strong experience in NLP, ML, and AI. - Ability to recommend data science modeling techniques based on business needs. - Experience in data insight generation using forecasting and prediction models. - Familiarity with ELT tools and data collection methods. - Strong critical thinking skills for data visualization and brainstorming. As a Senior Data Scientist focusing on Computer Vision, your role will involve the following responsibilities: - Experience of working with computer vision, Python, R, SQL, and NoSQL. - Must have experience with Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI). - Recommend the appropriate data science modeling technique based on the dataset to solve business problems. - Generate data insights using models such as Forecasting, Prediction, etc. - Experience with Extract, Load, Transform (ELT) tools and data collection methods. - Utilize critical thinking skills for data visualization, ideation, and brainstorming. Qualifications required: - Minimum 6 years of total experience. - Proficiency in computer vision, Python, R, SQL, and NoSQL. - Strong experience in NLP, ML, and AI. - Ability to recommend data science modeling techniques based on business needs. - Experience in data insight generation using forecasting and prediction models. - Familiarity with ELT tools and data collection methods. - Strong critical thinking skills for data visualization and brainstorming.