Life at Plume
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.
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
Requirements:
- 5+ years of experience in data science, machine learning, and statistical modeling
- Postgraduate degree in Data Science, Computer Science, Statistics, or a related field
- Demonstrated leadership experience, including managing projects and/or mentoring team members
- Strong proficiency in Python and SQL, with experience using modern machine learning frameworks
- Hands-on experience with data modeling and working with large-scale datasets
- Ability to clearly communicate complex technical concepts to non-technical or business stakeholders
Nice to Have:
- Experience working with network or streaming data (e.g., real-time analytics, event-based systems)
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Top Skills
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
