ALTAIR hiring Intern – Global Academic Program – Data Science. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
About Altair
Altair is a renowned technology company that specializes in providing advanced software and engineering solutions across various industries. With a strong focus on innovation and optimization, Altair offers a wide range of products and services that empower organizations to design, simulate, and analyze complex systems and processes. Their cutting-edge technologies enable clients to enhance product performance, streamline operations, and drive informed decision-making. Altair’s commitment to pushing the boundaries of technology has solidified its reputation as a trusted partner for businesses seeking to achieve greater efficiency and competitiveness in today’s rapidly evolving landscape.
Altair Recruitment 2024
Company name | Alt Air |
Website | www.altair.com |
Job Role | Intern – Global Academic Program – Data Science |
Work Location | Bangalore, India |
Job Type | Full Time |
Experience | Freshers |
Qualification | Bachelor’s, master’s, or higher degree with a focus on Data Science, such as Computer Science, Statistics, or Machine Learning. |
Batch | Not Mentioned |
Package | 2.5 – 3 LPA(Expected) |
Job Description
- Job Title: Intern – Global Academic Program – Data Science
- Mission:
- Aid in the business development of Altair Software in the Academic Market (Universities).
- Promote usage of Altair Data Science Software, particularly Altair Rapidminer, among Academics globally.
- Responsibilities:
- Develop and update training materials and knowledge base for Altair products, tailored to specific domains.
- Create real-world data analytics use cases, examples, and training materials.
- Support student teams, especially in competitions like the First Robotics Competition (FRC), in utilizing data analytics for success.
- Consult, support, and conduct workshops, webinars, and trainings for students and academic users of Altair Data Science Software.
- Assist in administering student access to software and resources, aiding in account management.
- Requirements:
- Excellent oral and written communication skills, particularly in English.
- Bachelor’s, master’s, or higher degree with a focus on Data Science, such as Computer Science, Statistics, or Machine Learning.
- Ability to explain Data Science and AI concepts to beginners.
- Proficiency in technical tools for data manipulation, understanding of Data Mining, and Statistical Analysis workflows.
- Proficiency in Python or R programming languages.
- Familiarity with real-world applications of Data Analytics, AI, and Machine Learning.
- Collaboration skills across technical and managerial levels globally.
- Strong presentation, problem-solving, and interpersonal skills.
- Keys to Success:
- Envisioning the future.
- Honest and broad communication.
- Seeking technological and business innovations.
- Embracing diversity and taking risks.
- Offerings:
- Exposure to international academic activities and interactions with Global Altair colleagues and partners.
- Participation in brainstorming sessions and encouragement of creative ideas for promoting Global academic business and Altair brand recognition.
- Freedom to explore own initiatives and ideas regarding training material, software usage, marketing, and brand promotion.
How to Apply?
- To apply for a job, read through all information provided on the job listing page carefully.
- Look for the apply link on the job listing page, usually located somewhere on the page.
- Clicking on the apply link will take you to the company’s application portal.
- Enter your personal details and any other information requested by the company in the application portal.
- Pay close attention to the instructions provided and fill out all necessary fields accurately and completely.
- Double-check all the information provided before submitting the application.
- Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
- Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.