Senior Data Scientist/Lead Ml Engineer Role
This position involves working with the Machine Learning Chapter to develop and enhance Mimica Mapper, an AI-powered tool for creating intuitive flowcharts that map user and team workflows.
The ideal candidate will possess a researcher mindset, strong technical skills in experiment setup, running, and evaluation using classic and deep learning-based approaches.
A solid background in tabular data and event data classification is required, along with proficiency in supervised and unsupervised learning techniques.
Excellent written communication skills are necessary for producing clear and concise reports. Strong Python programming skills, emphasizing clear code, are also essential.
Familiarity with Graph ML knowledge and experience designing, building, and maintaining data pipelines is a plus.
This role offers opportunities to contribute to groundbreaking projects that shape the future of work, while enjoying generous compensation, flexible schedules, and ample paid time off.
Responsibilities
* Develop and run experiments to improve our machine learning processing system.
* Write clear technical reports documenting experiments and results.
* Interface with the internal Process Analyst team to discover automation opportunities and explore solutions using machine learning.
* Support productionization and collaborate with engineers, product managers, and other team members to drive product development.
Requirements
* Strong technical skills in setting up, running, and evaluating experiments.
* Solid background in tabular data and event data classification.
* Rigorous research mindset and ability to mix classic and deep learning methods.
* Proficiency in supervised and unsupervised learning techniques.
* Excellent written communication skills.
* Strong Python programming skills.
* Drive to continually develop skills and improve processes.
What We Offer
* Distributed work arrangements.
* Company-issued laptop and remote setup stipend.
* Flexible schedules and location.
* Ample paid time off and enhanced parental leave.
* Health and retirement benefits.
* Annual learning and development budget.
* Opportunity to contribute to groundbreaking projects.