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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 TherapeuticsSPAN
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: SPANAutodesk
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 SciencesPatreon
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 Inc
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 lower
Job Source: SPAN IncAirtable
San Francisco, CA, United States
Airtable's unique approach to enabling end-user software creation has struck a chord with users across many industries and use cases. Our accelerating growth, coupled with our ambitious product surface area, brings many challenges. As one of the members of the Data Science team, you will play a crucial role in shaping the future of Airtable by deep
Job Source: AirtableSnowflake Computing
San Mateo, CA, United States
Build the future of data. Join the Snowflake team. Founded by industry experts and backed by strategic investors, our disruptive built-for-the-cloud architecture was designed to push the limitations of conventional data warehousing. Our teams breed ambition, challenge ordinary thinking, push the pace of innovation, in-service of the exploding dem
Job Source: Snowflake ComputingSan 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 today.
We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.
And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.
???? Role
Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools
Build actionable KPIs, create production-quality dashboards and notebooks to convey insights
Define and advance best practices within an experiment-driven culture
Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends
???? About You
We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.
You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
In addition to 6+ years of experience in the Data Analytics field, you should have:
Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
Bachelor’s degree in Computer Science, a related field, or equivalent work experience.
Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT
Expert in using SQL for data analysis, reporting, and dashboarding
Experience with a scripting language such as Python or R
Aptitude and experience in applied statistical modeling and machine learning techniques
Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks
????Compensation
For US-based applicants:$153,000 - $225,000/year + benefits + stock options
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.
???? Benefits
Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
Health Insurance options including Medical, Dental, Vision
Work From Home Support
$1,000 home office setup allowance
$150 monthly allowance for cell phone and internet
Care benefits
$450 monthly allowance on food
$500 monthly allowance for wellness
$5,000 annual allowance towards Childcare
$20,000 lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Parental Leave
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
???? EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
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Email Alert for Data Scientist jobs in San Francisco, CA, United States
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