Career at skills.ai
Careers: Innovate, Empower, Transform
Welcome to the careers page of skills.ai, where your passion for innovation and data can find a true home. We are not just a company; we are a movement dedicated to making data analytics accessible, intuitive, and empowering for everyone.
Why Join skills.ai?
- Innovative Culture: At skills.ai, innovation isn't just a buzzword; it's our way of life. We encourage creative thinking, continuous learning, and the pursuit of groundbreaking ideas.
- Empowering Environment: Our team members are our greatest asset. We provide a supportive environment where you can grow professionally and personally.
- Diverse and Inclusive: We celebrate diversity and are committed to creating an inclusive environment for all employees.
- Impactful Work: Your work at skills.ai will directly contribute to simplifying and democratizing data analytics. Make a real difference in how people interact with data.
We're looking for talented individuals in various fields. Check out our current openings and find the role that best fits your skills and passion:
Title: Full-Stack Data Engineer
If you are looking for a part-time remote full-stack engineer position, we'd like to speak with you.
- Building the data engineering backend for our cutting-edge AI analytics platform.
- Designing robust database backends to support advanced analytics.
- Developing job scheduling systems for timely analytics refreshes.
- Creating and enhancing analytics dashboards for insightful business intelligence.
- Planning and executing marketing campaign schedules.
- Handling various dev ops tasks, including managing the data engineering pipeline flow.
- Proficiency in Python with Django or Flask experience.
- Advanced SQL knowledge, including various joins and window functions.
- DevOps and strong analytical skills are desirable.
- Familiarity with cloud technologies like AWS, Heroku, or Digital Ocean is a plus.
- Must be a Mac user – we'll provide you with the latest Mac laptop.
- At least five years of practical Python and SQL experience.
- A bachelor's or higher degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
How to Apply
Excited to be part of the next AI revolution and enthusiastic about data science? Send your resume, a cover letter and your LinkedIn profile to [email protected]. Please mention the position you're applying for in the subject line.