Data Scientist at Stanza

San Francisco · Full Time

Stanza lets people and communities discover, share, and create their own event calendars. To date, 6M+ fans have found and synced over 315M events with their personal calendars via Stanza.

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Job Description

About Stanza

Hundreds of millions of pageviews, natural language processing, real-time user analytics, header bidding… these are just a few of the challenges we face at Stanza. To the consumer, Stanza is a seamless calendar integration, allowing users to sync their favorite interests and events such as concerts, sporting events, movie releases, esports, etc. With partners such as Warner Brothers, NBC Sports, CBS, NFL, NBA, NHL, NCAA, and many more, Stanza is becoming the default way to embed and share calendars on the web.

We are redefining the purpose of a calendar with one core value in mind: Your Time Matters. This leads us to a larger vision to redefine the calendar as a dynamic service that helps you automatically find, remember and act on the things that you truly care about spending your time on. We provide intelligent recommendations for Stanza calendars based on the content of articles and pages across the web aligning with interests, utilizing advanced analytics.

If you would like to take this journey and make a difference, please read on.

Stanza is backed by top-tier venture investors and is headquartered in San Francisco.

What you will do

Design, develop and program methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement.
Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
Identify and interpret trends and patterns in datasets to locate influences.
Construct forecasts, recommendations and strategic/tactical plans based on business data and market knowledge.
Create specifications for reports and analysis based on business needs and required or available data elements.
Produce datasets and reports for analysis using system reporting tools.
Use advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
Perform complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts.
Construct predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results.
Design experiments and methodologies to generate and collect data for business use.

Who you are

You have 5-7 years of experience manipulating data sets and building statistical models, and you have an advanced degree in Statistics, Mathematics, Computer Science or another quantitative field.
You are knowledge and experienced in statistical and data mining techniques
You have strong problem solving skills with an emphasis on product development.
You are extremely adept using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
You are well versed in working with and creating data architectures.
You have an interest and knowledge in a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Typically you delve into statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) on a weekly if not daily basis.
You have excellent written and verbal communication skills for coordinating across teams.
You have a drive to learn and master new technologies and techniques.

What else

Exciting startup environment with competitive salary with equity
Commuter reimbursements
Catered lunches several times a week
Medical, vision and dental benefits
Dog friendly office

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What We're Building

Stanza is the easiest way to share your calendar of upcoming events & dates with the world. Our products include the ubiquitous blue Add-to-Calendar button and StanzaCal - a visual representation of upcoming events.

Our platform is used by 10K+ orgs including the NFL, NBA, NHL, NCAA, Major League Gaming, and more. Over 8M users use Stanza to find and subscribe to over 200M events. Once users subscribe, calendar publishers can continue to update them with event changes and other upcoming events.

Stanza is a StartX accelerator alum.

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Stanza Team

Smita Saxena
Founder of @Stanza. @Stanford University graduate in Financial Math with technical background. Exited last startup, Accevia, also out of @StartX.
Tracy Damiano
Operations at @Stanza; @HealthyOut beta product launch @Blueprint Health; business and investment banking background (JPMorgan)
Kevin Farst
Full-stack developer @ Stanza
Raquel Atkinson
People Operations: Recruiting coordinator, sourcer, office manager, EA. Wearer of many hats at small to mid sized startups. I love building teams!
Natasha Welch
Creative, organized, love working with a group to accomplish larger project, enjoy making a difference in people's lives.
Jonathan Capecchi
Graphic / Web Designer focused on UI / UX with a wide range of experience. Im currently living in Los Angeles
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Have Questions? Ask Us Anything

What makes Stanza a unique place to work at?
We work with NFL, NBA, NHL, E-Sports teams, Nike and Warner Bros. We have 10K+ event publishers hosting & sharing their upcoming events. There are 50M monthly users discovering & engaging with those events along with 200M monthly pageviews. Currently have 6M users adding 250M events to their personal calendars via our Add-to-Calendar button. In addition.....We have an entire floor to ourselves, a fully stocked fridge and the greatest office dog in the world!!!
What is your office environment like?
It's a mixture of witty repartee and long brainstorming sessions with a few bottles of beer or wine if you prefer ; )

Stanza Investors

David Hirsch
Managing Partner/founder @metamorphicvc, xgoogs @Google, board @GirlsWhoCode and @RiverFundNY. Father of two. Well done is better than well said -Ben Franklin
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