Staff Data Scientist

**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 50 million locations globally and have managed over 2.5 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 Communications Service Providers (CSPs) 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. Plume's Data Services team is looking for bright and ambitious Staff level Data Scientists to build and deliver industry-leading innovation at a rapid pace. As a Data Scientist, you will be able to use a range of data science methodologies to solve challenging business problems when the solution is unclear. Due to the massive scale requirements of our platform, you will be solving challenging problems on a daily basis using cutting edge technologies and advanced architectural patterns involving distributed systems, and stateful services. This is a high impact role with immense growth opportunities and will truly put your data science skills to the test. **What You'll Do** - Perform in-depth analysis on our WiFi telemetry and user behavior data, derive actionable insights as well as critical KPIs, build visualizations/dashboards to present the results to stakeholders - Design and develop machine learning pipelines from various data sources by processing structured and unstructured data to support our machine learning and analytic needs - Formalize assumptions about how our systems are expected to work, create statistical definitions of the outliers, and develop methods to systematically identify these outliers. - Collaborate with cross functional teams to translate complex real-life business problems into concrete problem statements, formulate the technical specifications, and develop solutions using data science and machine learning techniques. **What You'll Bring** - BS/MS/PhD in Computer Science, Electrical Engineering or related technical field - 7+ years of industry experience in developing ML systems - Strong programming skills in Python and familiarity with SQL - Proficiency manipulating big data with Apache Spark (PySpark) - Expertise in data analysis and processing - in particular, data "wrangling" skills, such as data cleaning, augmentation, validation, the creation of ETL pipelines - Hands-on experience working with machine learning frameworks and fundamental understanding of machine learning concepts/techniques - Can work asynchronously with teams from different time zones - proactive, keep clear notes/reports, write great documentations, can work independently, etc - Experience and demonstrated capability to handle challenges with vague or abstract problem definition **Bonus If You Have** - Experience deploying machine learning pipeline to production systems - Experience working on health/fitness related datasets and IoT/edge devices **About Plume** As the creator of the only open, hardware-independent, cloud-controlled experience platform for CSPs and their subscribers, Plume partners with over 350 CSP 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 CSPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Backed by investors such as Insight Partners and SoftBank Vision Fund 2, Plume is now valued at $2.6B, having added over $500M in funding in 2021 alone. 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