Lead Data Scientist

Posted Yesterday
Hiring Remotely in United States
Remote
Senior level
Big Data • Internet of Things • Machine Learning
The Role
Drive advanced analytics and machine learning projects, leading a team while managing the data modeling and technical solutions to derive insights.
Summary Generated by Built In

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
• 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 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

Machine Learning Frameworks
Python
SQL
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The Company
HQ: Palo Alto, CA
611 Employees
Year Founded: 2015

What We Do

The world’s first SaaS experience platform for Communications Service Providers.

At Plume, we believe that technology isn't about moving faster. It's about making moments better. Which is why we've brought relentless focus to understanding the digital lifestyles people want to live, the spaces where they play out, and innovating ways to make digital experiences blossom. As the only open and hardware-independent solution, Plume enables the rapid delivery of new services for connected homes, small business, and beyond at massive scale. For residential subscribers, Plume delivers self-optimizing WiFi, cyber-security, access controls, and more. Our purpose-built suite of smart services turns small business networks into fully connected, business intelligence platforms. And Service Providers get robust back-end applications for unprecedented visibility and support.

Our goal is simple: to keep you in the flow with any experiences you turn on. And to help you fill the spaces that matter to you with all kinds of wonderful.

With a bias for action and love for breaking molds, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We constantly challenge ourselves to think in ways that other companies don't, and work to do what should be done (rather than what can). It’s how we've assembled a team of world-class engineers, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.

We believe that the core competitive advantage in the over-the-top era resides in the ability to create new services at high cadence, deploy them at massive scale, and to orchestrate through a common data set. Our flexible, cloud-controlled platform paired with an open-source software stack decouples service creation and delivery from dependence on proprietary hardware.

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