Lead Data Scientist

Job DescriptionAgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc.5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.If you like a challenging environment where you're working with the best and are encouraged to learn and experiment daily, there's no better place guaranteed! : )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 usProfessional growthAccelerate your professional journey with mentorship, TechTalks,and personalized growth roadmaps.Competitive compensationWe 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 projectsJoin projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.FlextimeTailor 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.Requirements- 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.