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