Data Science Architect for Large Scale Systems
hace 5 días
FullStack Labs is a software consultancy that has experienced rapid growth, becoming the fastest-growing company in the Americas. We help organizations like Uber, GoDaddy, and Siemens build distributed software development teams and deliver transformational digital solutions.
We pride ourselves on our employee-first approach, creating a positive and supportive work environment where talented software designers and developers can achieve their full potential. Our values are centered around offering life-changing career opportunities, building highly-skilled teams, and delivering successful custom software solutions that positively impact users.
The Role:
We're seeking an experienced Senior Python/Machine Learning Developer to join our team. As a Data Science Architect, you'll work with clients in one of two ways:
- Team Augmentation: You'll integrate directly into our client's team and collaborate with their existing designers and engineers daily.
- Design & Build: You'll work on a FullStack Labs product team to build and deliver products to our clients.
What We're Looking For:
- 6+ years of professional software development experience
- Proven experience working with Python and Machine Learning
- Experience with Azure, SQL, Spark or PySpark, and NoSQL databases
- Advanced English proficiency
- SUCCESSFUL COMPLETION OF A FOUR-YEAR COLLEGE DEGREE IS REQUIRED.
- Able to work through complex issues, contribute to libraries, and demonstrate a forensic attention to detail
- Positive mindset, ability to take ownership, and dedication to delivering results
- Meaningful experience working on large, complex systems and Agile/Scrum teams
What We Offer:
- Competitive pay in USD
- 100% remote work
- Opportunities to work with leading startups and Fortune 500 companies
- English Classes and virtual company events
- Ample opportunity for career advancement and continuing education
- Diverse and inclusive work environment
At FullStack Labs, we value diversity, equity, and inclusion. We're committed to equal employment opportunity and provide accommodations for applicants with disabilities upon request during our hiring process. Learn more about our Applicants Privacy Notice and Accessible Application Process.
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