Lead Data Scientist

Plume

3h

About The Position

At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.
We are looking for a Lead Data Scientist to drive advanced analytics and machine learning initiatives across the organization. This role combines hands-on data modeling with technical leadership, owning complex data science projects from problem definition to production while guiding and mentoring a team.

Requirements

• Strong experience in data science, machine learning, and statistical modeling
• Proven leadership experience managing projects or mentoring teams
• Proficiency in Python and SQL; experience with modern ML frameworks
• Solid experience with data modeling and large-scale datasets
• Ability to clearly explain complex concepts to business stakeholders

Nice To Haves

• Experience working with network or streaming data (e.g., real-time analytics, event-based systems)

Responsibilities

• Lead end-to-end data science projects, from business problem framing to model deployment
• Design, build, and maintain predictive, forecasting, and anomaly detection models
• Develop scalable data models and analytical frameworks to support decision-making
• Translate business and product requirements into clear data science solutions
• Provide technical leadership, code reviews, and mentorship to data scientists
• Partner with engineering, product, and stakeholders to ensure reliable production solutions
• Communicate insights, results, and recommendations to technical and non-technical audiences

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed