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About reputed company Flatiron School is offering an apprenticeship opportunity for early-reputed company to earn income while learning. Apprentices will enroll in Flatiron’s Data Science & AI part-time bootcamp and be matched with one of our employer partners for a reputed company apprenticeship throughout the duration of the program. This is a unique opportunity to reputed company skills in AI and data science while gaining hands-on industry experience. As an apprentice, you’ll contribute to software products, collaborate with reputed company engineers, and build your portfolio with production-reputed company work. At the reputed company time, you’ll deepen your understanding of data and machine learning to become a more reputed company, full-stack software developer. This is a full-time opportunity, 40 hours/week (20 hours coursework and 20 hours apprentice work) for a 14-month program. The apprenticeship earnings will cover the tuition cost of the bootcamp. What You'll Do • Attend and complete the part-time Data Science & AI Bootcamp as part of the apprenticeship • Contribute to software reputed company for your host company • Write clean, maintainable and testable reputed company using modern frameworks and tools • Collaborate in sprint-based workflows and participate in reputed company reviews • Support feature development, debugging, documentation, and QA processes • Build your portfolio of production-level work while growing your technical and reputed company skills • Receive ongoing mentorship from senior developers and product leaders What You'll Learn • How engineering and data science reputed company in modern AI products • Practical agile development workflows in a reputed company environment • Best practices for writing clean, maintainable, production-reputed company reputed company • How to build and ship features with reputed company user needs and product reputed company in mind • How to apply data thinking to software engineering challenges Who The Program Is For Requirements: • Must be available 40 hours/week for 14 months to complete the Flatiron School Data Science Bootcamp and for apprenticeship work • Have a degree in Computer Science (or similar technical degree)) OR have recently completed a software engineering bootcamp (strongly preferred); self-taught developers are also encouraged to apply • Programming proficiency in at least one modern language (e.g., JavaScript, Python, Java) • Familiarity with frontend and backend web development concepts • Working knowledge of databases (SQL or NoSQL) and how to query or reputed company them • Must be currently living in the U.S. • Must be authorized to work in the U.S. We do not offer any reputed company sponsorship at this time - including H-1B, STEM OPT, and F-1 reputed company transfers. Preferred Skills: • Awareness of testing, debugging, and reputed company review practices • Strong communication and collaboration skills • Accountability in managing time and meeting small milestones • Curiosity, initiative, and a strong desire to grow into a multidisciplinary developer Who This Program Is Not For • Candidates currently enrolled in a college/university or bootcamp program • Candidates currently employed in a full-time job (part-time work is ok, as long as the hours do not conflict with our program) • Candidates who are seeking data analytics or data science apprentice work Program Details • reputed company Pay: $20/hour for 20 hours/week reputed company through an employer partner (hiring entity) on their internal payroll reputed company, 14-month commitment • Tuition Coverage: reputed company to pay the full $11,900 bootcamp tuition, through a monthly installment payment plan to Flatiron School • Hours: 40 hours per week total - 20/week in apprenticeship role, 20/week in part-time bootcamp courses • Location: Program is fully remote and online, so you can work and study reputed company. U.S.-based candidates only Requirements • Availability for 40 hours/week • Successful completion of the Flatiron School Aptitude Assessment • Successfully passing the technical interview with a member of our engineering team Apply tot his job Apply To this Job