22 Principal Data Scientist Jobs in Palo Alto, CA
PLUME is Hiring a Principal Data Scientist Near Palo Alto, CA
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 Science team is looking for an experienced Principal Data Scientist to build and deliver industry-leading innovation at a rapid pace. As a Principal 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.
What You'll Do
- Guide a small team of Data Scientists in order to help prioritize the most impactful projects for the company.
- 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
- 10 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
Total Compensation package would include: anticipated compensation range of $220,000 - $260,000 bonus equity benefits. Benefits include: a 401k plan and a company match, basic life insurance plus unparalleled health, dental, vision and other benefits and perks. Please see here for more details.
An employee's base salary and its position within the range may depend on a number of factors including job related knowledge, education, skills, experience and other business related considerations. Published ranges are provided in good faith at the time of posting.
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 (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Job Summary
Full Time
$195k-237k (estimate)
10/17/2023
05/13/2024
plume.com
PALO ALTO, CA
200 - 500
2015
Private
NERI CHOMA
$50M - $200M
Related Companies
About PLUME
Plume is a California-based CPaaS platform that provides WiFi optimization, network management and related solutions for commercial and industrial markets.
The job skills required for Principal Data Scientist include Data Science, Machine Learning, Analysis, Python, Insight, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Principal Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Principal Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Principal Data Scientist positions, which can be used as a reference in future career path planning. As a Principal Data Scientist, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Principal Data Scientist. You can explore the career advancement for a Principal Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Principal Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Principal Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Principal Data Scientist job description and responsibilities
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
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Step 3: View the best colleges and universities for Principal Data Scientist.
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