As an associate data scientist at Classter, you will have the opportunity to work on cutting-edge projects that leverage Python, machine learning, data analytics, natural language processing (NLP), data science, deep learning, SQL, and artificial intelligence. Join our dynamic team and be a part of revolutionizing the education sector with data-driven solutions.
Key responsibilities:
1. Develop and implement machine learning models to analyze and extract insights from large datasets.
2. Utilize NLP techniques to enhance Classter's text processing capabilities.
3. Collaborate with cross-functional teams to design and implement data-driven solutions.
4. Conduct statistical analysis and data visualization to communicate findings effectively.
5. Work on projects involving deep learning algorithms for image and speech recognition.
6. Manage and optimize databases using SQL for efficient data retrieval.
7. Research and stay updated on the latest advancements in AI and data science to contribute innovative ideas to the team.
If you are passionate about data science and eager to make an impact in the education industry, this role is perfect for you. Join us at Classter and be a part of a team that is shaping the future of education through data-driven insights.
Skill(s) required
Data AnalyticsData ScienceDeep LearningMachine LearningNatural Language Processing (NLP)PythonSQL
1. Candidate must be available to work from 10:30 pm - 6:30 am Indian Standard Time (as the company is based outside of India & their local work timings are 9:00 am - 5:00 pm Pacific Standard Time)
Classter's 'Classroom Management' tools are here to bring order to the chaos. Teachers can effortlessly track attendance, create and manage assignments, and communicate with students and parents all in one place. Say goodbye to paper checklists and hello to streamlined digital workflows. With real-time insights into student progress, you can identify areas where students need extra support and tailor your teaching accordingly. Classter helps you create a more organized, engaged, and productive learning environment, where both teachers and students can thrive.
