We are looking for technologists who aspire to advance their careers while contributing to the enhancement of patient care by clinicians through better, safer, and more efficient means. Responsibilities: - Oversee and manage data science projects throughout their lifecycle, ensuring alignment with business objectives and adherence to timelines. - Provide leadership, mentorship, and guidance to a team of data scientists, fostering their professional development and ensuring the successful execution of projects. - Develop and deploy sophisticated machine learning models and algorithms to address intricate business challenges. Mandatory Requirements: - A Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science). - Proven experience in leading data science projects and teams - Proficiency in machine learning, deep learning, natural language processing (NLP), computer vision (CV), generative AI (Gen AI), statistical analysis, and data analysis tools (e.g., Python, R). - Exhibit outstanding problem-solving abilities and a steadfast commitment to achieving results. #Hiring #DataScience #Technology #JoinIKSHealth
I'm interested
I'm interested
👀
Rohit Pandey
4w
I'm interested
I'm interested
UI UX Designer
4w"My friend applied for the position of Medical Data Analyst. After undergoing a series of interviews, including a typing test, she was informed of her selection and instructed to submit her documents by the 19th of June. However, despite assurances, she was not kept informed of the progress. When she raised this concern with her brother, he contacted the company, and after his intervention, they informed her that her start date would be postponed to July. This is not the first time such miscommunication has occurred; a previous HR representative, Swapnaja Mohite, also displayed similar behavior. This inconsistency is deeply distressing, especially considering the dedication of medical professionals like my friend. I urge the management to address this issue promptly and provide an apology for the distress caused.