Remote Senior/Lead Data Scientist/ML Engineer

Description:

• Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact.
• The company’s AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps.
• Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation, and provides a blueprint for building new automations and transforming work.
• In this role, you will be a member of the ML Chapter and work with the Mapper team, focusing on the continuous development of Mimica Mapper, which creates intuitive flowcharts that map out user and team workflows.
• You will own experiments and explore complex problems related to task similarity and improving the use of the Mapper.
• Your day-to-day responsibilities will include designing and running experiments to improve the ML processing system, writing clear technical reports, writing clean and maintainable Python code, interfacing with the internal Process Analyst team, supporting productionization, collaborating with other engineers and product managers, and contributing to knowledge sharing and process improvement.

Requirements:

• Strong technical skills in setting up, running, and evaluating experiments using both classic and deep learning-based approaches are required.
• A solid background in tabular data and event data classification is essential.
• A researcher mindset with curiosity and rigor in exploring and solving complex problems is necessary.
• The ability to effectively mix classic and deep learning methods, with a clear understanding of when to apply each, is required.
• Proficiency in supervised and unsupervised learning techniques is essential.
• Excellent written communication skills, including the ability to produce clear and concise reports, are necessary.
• Strong Python programming skills, emphasizing clear and readable code, are required; while productionization support may be involved, it is not the primary focus.
• A drive to continually develop your skills, improve team processes, and reduce technical debt is essential.
• Fluency in English, with the ability to effectively communicate abstract ideas, complex concepts, and trade-offs, is required.
• Bonus qualifications include knowledge of Graph ML, experience designing and maintaining data pipelines, and experience working in a high-impact, high-ambiguity startup environment.

Benefits:

• The position offers generous compensation and stock options, aligned with the internal framework, market data, and individual skills.
• Employees can work from anywhere, with options for fully remote work, in company hubs, or a mix of both.
• A laptop, remote setup stipend, and co-working budget are provided.
• Flexible schedules and locations are available.
• Ample paid time off is offered, in addition to local public holidays.
• Enhanced parental leave is provided.
• Health and retirement benefits are included.
• An annual learning and development budget is available.
• Opportunities for annual workaways and regular virtual and in-person socials are offered.
• Employees have the chance to contribute to groundbreaking projects that shape the future of work.
• Note: Some benefits may vary depending on location.