ClearML is the leading open source, end-to-end solution for unleashing AI in the enterprise, trusted by leading Fortune 500 companies, enterprises, academia, and innovative start-ups worldwide. We enable customers to build continuous ML workflows from experiment management and orchestration through data management and scheduling, followed by provisioning and serving to achieve the fastest time to ML production, fastest time to value, and increased performance. In this way, ClearML accelerates ML adoption across business units, helping companies reach their revenue potential and materialize their ML investments. With thousands of deployments and a vibrant, engaged community, ClearML is transforming the ML space, bridging software, machine learning, and automation.

ClearML

The leading open source, end-to-end solution for unleashing AI in the enterprise.

Staff Scientist
Overview: 
ClearML is a unified, open source platform for continuous machine learning (ML), trusted by forward-thinking Data Scientists, ML Engineers, DevOps, and decision makers at leading Fortune 500, enterprises, academia, and innovative start-ups worldwide. We enable customers to build continuous ML workflows -- from experiment management and orchestration through data management and scheduling, followed by provisioning and serving -- to achieve the fastest time to ML production, fastest time to value, and increased performance.
As a Staff Scientist at ClearML, you will have the opportunity to contribute to our mission of transforming the ML space -- bridging software, machine learning, and automation . Our team is focused on improving the customer experience of our MLOPs platform and tools through data-driven insights, research, and development.
In this role, you will work closely with product, engineering, and growth teams to understand how data scientists and machine learning engineers are using our tools and make recommendations for improving their capabilities. You will also have the opportunity to share your findings and recommendations with organizational leaders, leading and shaping the role that the Data Science team plays in the overall strategy and culture of the company. 
By joining ClearML, you will have the chance to be a part of a dynamic team that is dedicated to advancing the field of machine learning and helping ML engineers train high-performing, fair, and reproducible models.
Responsibilities: 
Partner with the Growth and Product teams to identify ideal users, their behaviors within the product, and ways to optimize the growth team's efforts.Work with Product Managers to incorporate your expertise in machine learning into the development of new tools and features for data scientists.Develop data science models and statistical methods to inform business strategy and enhance customer experiences.Act as a mentor and educator for the entire team by sharing not only the outcomes of your projects, but also the process and methods used, to empower all team members to become data-savvy.Work together with engineering and product development teams to build and test ML/DL solutions stretching the entire spectrum of ML operationalization from data processing, model training, hyperparameter tuning, deployment, and model management.Lead, coach, and mentor the Data Science team.
About you:
Experience in predictive modeling and inferential statistics in a Data Science setting.Familiarity with causal inference methods and experience in building related models.Strong skills in working and analyzing real datasets using SQL, Pandas, and data visualization.Knowledge of growth and product metrics, including modeling, customer segmentation, and customer acquisition.Basic understanding of deep learning and CV concepts and architectures.Passion for MLOps and deep learning products and ecosystems. .A track record of creating well-documented and easy-to-follow code. Excellent communication skills, including the ability to clearly convey ideas to people with different technical backgrounds.Strong writing and presentation skills for insights and data visualization.Knowledge of SQL and Python; familiarity with Scala, Java, or C++ is a plus. Familiar with Kubernetes and/or perhaps similar container systemStrong math and analytical skills, with business acumenBSc or BA degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred

Staff Scientist

What the job involves

Day to day