Senior/lead Data Scientist

hace 2 meses


Tlahuac, México AgileEngine A tiempo completo

ID: 14204

**What you will do**
- Ingesting, structuring and analyzing a wide range of unstructured data sources;
- Designing, maintaining and orchestrating data pipelines in an AWS environment for production processing and training flows;
- Continuously evaluate, analyze, test and improve the quality, privacy and performance of our data systems;
- Contribute across the product, where - from front-end UX and product design, API/systems architecture and ML processing/training.

**Must haves**
- 3+ years of experience ingesting, analyzing and structuring a wide variety of data sources;
- Significant experience building and maintaining data pipelines in a production environment;
- Strong database/SQL, python, pandas (or equivalent) experience;
- Prior experience working in fast paced environments and tackling problems across the stack with quick iterations while maintaining a high quality bar;
- Upper-intermediate English level.

**Nice to haves**
- Significant healthcare data experience;
- Extensive production AWS, container and/or data orchestration experience;
- MLE Experience - pytorch, scikit-learn, etc..;
- Fullstack development experience (JS/TS/Node in particular);
- Demonstrated experience in similar roles in a startup or consultancy.

**The benefits of joining us**
- **Professional growth**

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
- **Competitive compensation**

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
- **A selection of exciting projects**

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
- **Flextime**

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.

Work Location: In person


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