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Scribe Therapeutics
Alameda, CA, United States
Scribe Therapeutics is a molecular engineering company focused on creating best-in-class in vivo therapies that permanently treat the underlying cause of disease. Founded by CRISPR inventors and leading molecular engineers Benjamin Oakes, Brett Staahl, David Savage, and Jennifer Doudna, Scribe is overcoming the limitations of current genome editing
Job Source: Scribe TherapeuticsAutodesk
San Francisco, CA, United States
Job Requisition ID # 24WD74815 Position Overview Are you excited about the idea of using data to make the world a better place? Building operations today is highly inefficient. Up to 50% of maintenance expenditure is ineffective, 30% of energy is wasted due to poor design and/or operational decisions, and as much as 50% of t
Job Source: AutodeskPivotal Life Sciences
San Francisco, CA, United States
Pivotal Life Sciences - AI Data Scientist - Job Description Intro If WHO you work for & with and WHY your company exists is at the top of your list of criteria for choosing your next opportunity, we encourage you to take a look at the roles we are hiring for at Pivotal Life Sciences (PLS) and join our growing team of data scientists/engineers wor
Job Source: Pivotal Life SciencesWhatnot
San Francisco, CA, United States
???? Whatnot Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values , and as a remote-first team, we operate out of hubs within the US, Canada, UK, and Germany
Job Source: WhatnotEdjuster
San Francisco, CA, United States
Postmates runs one of the largest marketplaces in the country, connecting consumers, merchants, and couriers in real-time. Building high powered intelligence atop our large-scale datasets is a serious challenge and we’re looking for candidates who are ready to dig in. Postmates isn’t just another ad platform or mobile app for delivering static cont
Job Source: EdjusterPatreon
San Francisco, CA, United States
Patreon is the best place for creators to build memberships by providing exclusive access to their work and a deeper connection with their communities. We’re building a content and community platform where creators can engage directly with their fans and monetize their creativity, while maintaining full ownership over the work they make and the com
Job Source: PatreonSPAN
San Francisco, CA, United States
Our Mission SPAN develops products that accelerate the rapid adoption of renewable energy in the home. The flagship SPAN Smart Panel is the first true evolution for the traditional home electric panel, harnessing enhanced technology for metering, monitoring, and control. An expanded product suite of intelligent, integrated solutions radically lowe
Job Source: SPANWatershed
San Francisco, CA, United States
About Watershed Watershed is a software platform for running a world-class climate program. We measure our success in the carbon reduction achievements of our customers. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.
Job Source: WatershedSan Francisco, CA, United States
Our Mission
SPAN develops products that accelerate the rapid adoption of renewable energy in the home. The flagship SPAN Smart Panel is the first true evolution for the traditional home electric panel, harnessing enhanced technology for metering, monitoring, and control. An expanded product suite of intelligent, integrated solutions radically lowers the cost and complexity of energy upgrades-including solar, batteries and EVs-empowering homeowners to be active, resilient and informed players in the energy market.
The Role
We aim to establish the SPAN Panel as the center of home energy and the backbone of the renewable distributed grid. Analytics and ML are essential tools to develop features for the smart, green, energy-efficient home of the future. SPAN's unique ability to monitor and control individual circuits opens up a new avenue for proactive whole-home management and equipment failure detection. As a Data Scientist, you will leverage your deep understanding of ML, modeling, and statistics to solve problems including anomaly detection, event prediction and context understanding with the goal to optimally manage whole-home energy consumption, deliver meaningful insights to the customer, and notify them about a potential failure of equipment or hazards in their home. You'll be involved through the entire development process, from the acquisition of all additional third-party data, the initial design to remote monitoring in the field.
Responsibilities
Lead the development of data products from the ground up which includes:
Gain knowledge in the relevant domain (e.g.appliance signatures, failure modes, load disaggregation)
Feature engineering (including embedded implementation for dimensionality reduction)
Use your experience with different machine learning frameworks to identify suitable tools for integration in SPAN's software platform
Proactively identify opportunities within SPAN that can benefit from data science analysis
Use fleet data to monitor algorithms in the field
Note: We're a startup, so while this list is broad, it's still just a start; you'll end up wearing many hats during your time at SPAN
About You
Required Qualifications
Master's degree or higher in Computer Science, Mathematics, Engineering, or a closely related field
7+ years' of professional experience with developing, implementing, and analyzing algorithms in a production environment
Deep experience with and understanding of machine learning systems, which includes familiarity with topics such as feature extraction from high-frequency signals, noisy labels, ML for physical processes, model explainability, model compression and edge inference
Experience with high-frequency time series modeling
Advanced Python skills, as well as familiarity with pandas and scikit-learn
Software design experience and ability to write clean, maintainable, and shippable production code
Experience working within cloud computing environments such as AWS
Experience working with SQL and data visualization tools
Extensive data modeling and data architecture skills
Strong communication and interpersonal skills
Ability to understand and explain complex problems simply and effectively
Bonus Qualifications
Experience with the Energy industry
Experience with building IoT and/or hardware products
Experience with Flink and/or Apache Flink
Experience with digital signal processing as applied to feature extraction and processing
Understanding of electrical systems and residential loads
The U.S. base salary range for this position is $150,000- $200,000 plus benefits, equity and variable compensation for Sales-related roles. This range represents SPAN's good faith estimate of competitively-priced salary for the role based on national, real-time industry data from companies of a similar growth stage. This range reflects minimum and maximum new hire salaries for the role across US locations. Within the range, individual pay is determined by location and individual factors including relevant skills, experience and education or training. This range correlates to the relative level of the candidate we believe we need for the role and may require an adjustment for candidates of a different level.
Your recruiter can share more about the specific salary range for the location this role is based during the hiring process.
Life at SPAN
Headquartered in San Francisco's vibrant SoMa neighborhood, we are an eclectic group of creative thinkers who value open communication, teamwork, and a 'make it happen' approach to addressing complex challenges.
SPAN embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
We're hiring talented individuals who are driven by success and are passionate about shaping the future of renewable energy. If that sounds like you, we'd love for you to consider joining the rapidly growing team at SPAN.
The Perks:
Competitive compensation + equity grants at a well-funded, venture-backed company
Comprehensive benefits (including medical; dental, vision, life and disability insurance)
Comfortable, sunny office space located near BART and Caltrain public transit
Strong focus on teambuilding and company culture (events, meet-ups, clubs)
Flexible hours and unlimited PTO
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Email Alert for Data Scientist jobs in San Francisco, CA, United States
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