18 ene
Distillery
Guadalajara
**About Distillery**: Distillery is a high-growth technology services company specializing in end-to-end custom software development and IT staffing for startups, small and mid-size businesses, and enterprises.
We help our clients to imagine, design, engineer and deliver business-defining software and digital experiences whether they're looking for a fully managed team, scalable workforce or individual engineers.
**About the Position**: As a- Senior Data Scientist _you will work on new technologies and find ways to meet our customers' needs and make it easy for them to do business with us.
You will be a part of a team to resolve a diverse range of complex problems and regularly lead multiple, technically complex, large-scale projects.
**Responsibilities**:- You'll be part of a diverse, cross-functional team of Data Scientists, Machine Learning Engineers, Data Analysts, Product Managers and UX Designers- You'll focus on driving machine learning in a variety of areas focused around empowering our customers to create high converting content, optimize their ad campaigns, and provide data driven insights to increase their ROI- You'll be exposed to a wide array of machine learning areas, such as cutting-edge NLP utilizing attention based and generative models, image analysis and reinforcement learning- You'll help Data Products plan it's overall strategy, vision and planning**Requirements**:- 3+ years as a Data Scientist- Strong Background with Pandas, NumPy, SciKit-Learn, Jupyter/Python, Tensorflow- Experience with Azure ML and NLP tools (e.G.
SpaCy) is a plus.- Understanding of AI, Machine Learning methods and can work on solving new types of problems.
**Why You'll Like Working Here**:- The ability to work on and partner with multi-national teams that are committed to our BEST core values: Best People, Best Expertise, Best Service, Best Teamwork- A generous, competitive compensation package for exceptional performers, as well as a generous vacation package and competitive benefits plan- Remote working environment- Professional and personal development
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.