Sundial Company Overview

Deep Comprehensible Insights from any Data

Sundial is a top VC-backed early-stage startup headquartered at San Francisco Bay Area, US with a second office in Bengaluru, India. Our founders are industry veterans Chandra Narayanan, previously Chief Data Scientist at Sequoia Capital, and Julie Zhuo, previously VP, Design and Research at Facebook, author of a bestselling management book.
We are a small team of top talent, high caliber Engineers, Data Scientists, Designers and PMs (currently 46 in India, 4 in US) and rapidly growing.
We are on a mission to help builders make meaningful use of data to fulfil their vision. Sundial automatically diagnoses a product's data to explain the "what" and the "why" to enable faster and better decision making.

Our Vision for Sundial

By now, you've probably visited our website and browsed around the profiles of our team members. If you haven't yet, please take a moment to do so. We'll wait 🙂
Now you would probably know that we are focused on data storytelling. The data space has over $100B in market opportunity ahead of it, and modern Business Intelligence tools are growing at over 15% year over year.
We've seen this evolution firsthand. Our co-founders Chandra Narayanan and Julie Zhuo cut their teeth scaling Facebook from a few million college students to billions of people.
To make the best decisions possible, companies are investing more and more into understanding their data. And yet, demand far outpaces supply for Data Scientists and Data Platform Engineers who can construct useful narratives out of the growing firehose of raw data, tables and charts. Currently most data-centric organizations have a large Data Platform and Data Science team that builds Big Data Platforms, Insights Data stores to bring data into dashboards and manually generates reports to communicate the product story broadly. But a large part of this process can be easily productized.
At Sundial, we're building a Sundial’s Insights Data Platform. This platform converts raw data in large Data Warehouses into a universe of deep product insights that product teams—including PMs, data scientists, executives and engineers—consume easily. This involves Highly Scalable, Robust Distributed Data Platform which can consistently, repeatably run complex Data Science and Transformation algorithms at Cloud Scale.

We envision a future where every organization becomes a data-informed organization through our work of:

Productizing the diagnostic analysis of yesterday so teams can focus on the strategic bets for tomorrow.
Making data understanding easy and accessible to everyone, not just data scientists.
Surfacing opportunities of improvement in growth across segments

We believe better usage of data leads to better products, and better products lead to better experiences for people.

Why You’ll Love Working with Us

You like the ownership, camaraderie and chaos of a start-up environment -Things move fast and change often. You’ll wear many hats, take real ownership, and see your work directly impact the company.
You love to build complex engineering systems at the intersection of data science and big data problems in the booming data analytics space - We solve unique engineering problems at the intersection of data science, big data, and analytics—where how insights are presented matters as much as the insights themselves.

You value learning and have a growth mindset - We believe slope > intercept. You’ll learn constantly through collaboration, reflection, and deep ties to the open-source frontend community.

You're interested in understanding how companies grow, and how data plays a role - Understanding how businesses create scalable value through data is core to what we do—and you’ll become an expert along the way.

Job Description

As a Product Scientist, you will be working on...

Working with individual clients to understand their needs in order to create a Sundial product solution that fits them. This includes:

Modeling client datasets (often in petabytes) to help answer questions important to our clients along areas such as user growth, retention, various funnels, etc.
Using the Sundial analytics product to deliver insights on top of this datastack
Envisioning, designing, and creating collections of common analyses around topics like user growth, retention, signup funnels, user engagement, revenue.
Partnering with Engineers, PMs, and Designers to build scalable data products.

What we're looking for…

2-5 Years of Relevant Work Experience (Internships are included)
Ability to model business questions into data questions using Statistical Analytics techniques
Experience in analytics projects requiring understanding data in the context of the problem to be solved, transformations that help extract the information and then use it to generate insightful visualisations.
Fluency in SQL is a must.
Excellent communication skills that means you can deftly tell stories with data

You could have…

Experience with working on big data, Spark, Golang
Experience working in data analytics for technology companies.
Experience with working on BI Tools, decision science projects and statistical insight models