Globant
Senior Data Scientist
Globant, Ocean Grove, New Jersey, United States,
We are a digitally native technology services company where innovation, design and engineering meet scale. We use some of the latest technologies in the digital and cognitive field to empower organizations in every aspect.Right now, we are looking for
Data Scientists
to join our team at Globant!You will get the chance to:Work with professionals who have created some of the most revolutionary solutions in their fields.Make an impact. Work in large-scale projects globally.Develop your career in our Studios. Each Studio represents deep pockets of expertise on the latest technologies and trends and delivers tailored solutions focused on specific challenges.Develop your career within an industry or multiple industries.Be empowered to choose your career path: we have more than 600 simultaneous projects, so you can choose where and how to work.Key Responsibilities:Lead development and implementation of AI solutions and provide support to existing ones.Identify opportunities for AI implementation across various business functions and processes.Collaborate with cross-functional teams to gather requirements and understand business needs.Design and build machine learning models and algorithms to automate manual tasks and optimize resource allocation.Develop data pipelines and workflows to support AI applications.Collaborate with IT professionals to integrate AI solutions into existing systems and infrastructure.Conduct thorough analysis of data to extract insights and drive informed decision-making.Stay up-to-date with the latest advancements in AI and identify innovative approaches to enhance outsourcing processes.Mentor and provide guidance to junior data scientists on AI development, methodologies, and best practices.Present findings and recommendations to senior management and stakeholders.Utilize A/B testing and Machine Learning explainability techniques.Create APIs or services to expose the models for consumption.Proficiency in any of these AI fields: NLP, computer vision, recommendation systems.What would help you succeed:Believe and love what you do.Enjoy solving problems.Have imagination and love innovating.Be flexible & goal-oriented.Advanced English skills.High performance analytical ability.Experience with AI frameworks and tools such as TensorFlow, PyTorch, or scikit-learn.Experience with cloud environments, Microsoft Azure is a plus.Experience with MLOps, tools like MLFLow, Kubeflow, Argo Workflow, Grafana, Neptune.ai, Weights & Biases, etc.Knowledge of data science products and their deployments, able to create PoCs relying on user interface applications like Streamlit (or similar) and Docker.Extensive experience in developing and implementing AI solutions, particularly in the context of outsourcing processes.Strong background in machine learning, deep learning, and statistical modeling techniques.Very solid proficiency in programming, OOP and functional, with languages such as Python, R, or Java.Solid understanding of data engineering concepts and experience with data manipulation and analysis using SQL and/or NoSQL databases.At Globant, we believe that an inclusive culture and a diverse environment make us stronger. We encourage people to have an inclusive spirit as our global footprint expands. We seek to generate a place of inspiration and growth for everyone.Are you ready?
#J-18808-Ljbffr
Data Scientists
to join our team at Globant!You will get the chance to:Work with professionals who have created some of the most revolutionary solutions in their fields.Make an impact. Work in large-scale projects globally.Develop your career in our Studios. Each Studio represents deep pockets of expertise on the latest technologies and trends and delivers tailored solutions focused on specific challenges.Develop your career within an industry or multiple industries.Be empowered to choose your career path: we have more than 600 simultaneous projects, so you can choose where and how to work.Key Responsibilities:Lead development and implementation of AI solutions and provide support to existing ones.Identify opportunities for AI implementation across various business functions and processes.Collaborate with cross-functional teams to gather requirements and understand business needs.Design and build machine learning models and algorithms to automate manual tasks and optimize resource allocation.Develop data pipelines and workflows to support AI applications.Collaborate with IT professionals to integrate AI solutions into existing systems and infrastructure.Conduct thorough analysis of data to extract insights and drive informed decision-making.Stay up-to-date with the latest advancements in AI and identify innovative approaches to enhance outsourcing processes.Mentor and provide guidance to junior data scientists on AI development, methodologies, and best practices.Present findings and recommendations to senior management and stakeholders.Utilize A/B testing and Machine Learning explainability techniques.Create APIs or services to expose the models for consumption.Proficiency in any of these AI fields: NLP, computer vision, recommendation systems.What would help you succeed:Believe and love what you do.Enjoy solving problems.Have imagination and love innovating.Be flexible & goal-oriented.Advanced English skills.High performance analytical ability.Experience with AI frameworks and tools such as TensorFlow, PyTorch, or scikit-learn.Experience with cloud environments, Microsoft Azure is a plus.Experience with MLOps, tools like MLFLow, Kubeflow, Argo Workflow, Grafana, Neptune.ai, Weights & Biases, etc.Knowledge of data science products and their deployments, able to create PoCs relying on user interface applications like Streamlit (or similar) and Docker.Extensive experience in developing and implementing AI solutions, particularly in the context of outsourcing processes.Strong background in machine learning, deep learning, and statistical modeling techniques.Very solid proficiency in programming, OOP and functional, with languages such as Python, R, or Java.Solid understanding of data engineering concepts and experience with data manipulation and analysis using SQL and/or NoSQL databases.At Globant, we believe that an inclusive culture and a diverse environment make us stronger. We encourage people to have an inclusive spirit as our global footprint expands. We seek to generate a place of inspiration and growth for everyone.Are you ready?
#J-18808-Ljbffr