Senior Data Scientist, Snowflake
Finance
$148-218.5k
Plus bonus and equity
3-5 days a week in office (San Mateo, CA)
Cloud data platform providing data warehouse-as-a-service for the cloud
Job no longer available
Cloud data platform providing data warehouse-as-a-service for the cloud
1001+ employees
Job no longer available
$148-218.5k
Plus bonus and equity
3-5 days a week in office (San Mateo, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
- Extensive experience building production-ready ML models for time series applications
- Experience conducting open-ended research projects and literature reviews
- 5-7+ years of experience with Python and familiarity with SQL
- Experience working with large-scale machine-generated data (e.g., log, application, or customer-usage data)
- Hands-on experience with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc
- Ability to clearly present learnings to business leaders and technical stakeholders
- The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful
What the job involves
- We’re growing and looking for a talented Senior Data Scientist to come aboard and join our Data Science team in Finance
- Our team develops, operationalizes, and maintains the ML-based forecasting models for some of Snowflake’s core financial metrics
- Our work product informs many facets of corporate planning and is heavily used by teams inside and outside of Finance, as well as by executive management, the board, and in external reporting to our investors
- Our team also works closely with Product to assess the financial impacts of new product features, with Sales to understand and predict customer behavior, and develops and applies anomaly detection algorithms to cost and revenue data
- We are looking for someone who has significant experience employing ML algorithms on time series data and is both equally at home conducting applied research as well as implementing and operationalizing their ideas to meet business driven timelines
- As Finance touches on all aspects of the business, you should have a desire to learn about customer behavior and the important drivers of various departments
- Work with time-series datasets to refine and extend the core forecasting models and algorithms we use for many of our key financial metrics
- Develop and refine ML models that are critical to Snowflake’s business
- Identify and build solutions for operational use cases in forecasting —e.g. further automation, system monitoring and alerting, outlier detection, etc
- Generate insights into drivers of our business leveraging statistical methods and participate in extending and developing internal tools used for this purpose
- Think creatively to find optimal solutions to our complex, typically unstructured problems
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company values
- Put Customers First - We only succeed when our customers succeed
- Integrity Always - Be open, honest and respectful
- Think Big - Be ambitious and have big goals
- Be Excellent - Quality and excellence count in everything we do
- Get It Done - Results matter. Work hard and smart
- Own It - Build our product and our company like it’s yours, because it is
- Make Each Other the Best - Treat people with kindness and respect
- Embrace Each Other's Differences - Accept and appreciate everyone from every walk of life
Company HQ
Bozeman, MT
Articles
Leadership
Benoit Dageville
(Co-Founder)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Salary benchmarks
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Diversity, Equity & Inclusion at Snowflake
- At Snowflake, embracing each others’ differences is a core value of our organization. We recognize and appreciate the importance of creating an environment in which all employees feel valued, included, and empowered to do their best work and bring great ideas to the table. Promoting the values of diversity and fostering an inclusive workplace culture takes each of us working together, caring deeply, and acting intentionally.
- Since Day 1, Snowflake and its culture belong to each of us, We “own it.” Owning it means we continually look for ways to improve and it’s in that spirit that our Diversity Council was formed. Our Council spans every functional area with an eye towards diverse representation across a range of demographics - 50% female, 50% persons of color, 21% LGBTQ, 7% persons with disabilities, and four generations. The Council narrowed in on three priority areas to focus our initiatives and impact positive change.
- 1. Enabling employee and community readiness by creating focus groups and using data to reveal deeper insights into our community and our specific needs and challenges to guide our future efforts and target initiatives.
- 2. Empowering employees’ voices by organizing outlets for conversation, spotlighting different employee stories, building mentorship programs, and supporting cultural inclusion.
- 3. Building external partnerships to broaden demographic representation in our candidate pipeline and educational partnerships to enable equitable opportunities for generations to come.
- As a company of action, we are committed to managing and measuring our forward progress around diversity and inclusion. And because we are a data company, the approach of gaining insights from the data, setting targets, measuring results, and iterating is in our DNA. We have put in place the foundational groundwork to ensure diversity, equity, and inclusion for right now and for the future of Snowflake.
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