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Senior Data Scientist, Finance

Build the future of data. Join the Snowflake team.

 

We’re looking for a Senior Data Scientist to join our Data Science team in Finance. This role will work closely with our partners in Product Workload Finance, who play a crucial role in managing the business, financial, and operational performance of our product workloads.  You will provide modeling, analytics, data app development, and data pipelining support as well as work closely with other finance data scientists to align workload forecasting efforts with our top-level corporate forecasts.

IN THIS ROLE YOU WILL :

  • Work with a wide range of finance, engineering, and product stakeholders in partnership with the Product Workload Finance team to model and forecast product workloads, define workload financial metrics, and to build tools that enable financial planning under different scenarios 
  • Partner with Product Workload Finance as well as other finance data scientists to design and perform observational studies and tests to understand the uncertainty of the workload forecasts and devise methods to reduce this uncertainty
  • Perform analytics to shed light on key business questions and present on findings
  • Research data from key business systems, architect data models and data pipelines, and design end-to-end data apps to support our workload finance team
  • 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 IDEAL CANDIDATE WILL HAVE :

  • 5+ years of experience in product data science and/or finance data science roles at a technology company
  • Advanced SQL skills, including experience building complex data pipelines and using SQL to perform analysis
  • 5-7+ years of experience with Python
  • MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
  • 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, high pressure environment. That means being flexible and willing to jump in and do whatever it takes to be successful.
  • Ability to think creatively to solve problems
  • An obsession for detail and quality

PREFERRED SKILLS :

  • Experience with ERP and Financial Planning tools
  • Familiarity with cloud cost management and understanding of cost structures in cloud environments
  • Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is globally-distributed enterprise, with a team of more than 6,780 employees working in over 40 offices around the world. Hundreds of the world’s largest, use our AI Data Cloud to share data, build applications, and power their businesses.

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CULTURE VALUES
Inclusive & Diverse
Dare to be Different
Customer-Centric
Collaboration over Competition
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
BENEFITS & PERKS
Maternity Leave
Paternity Leave
Flex-Friendly
401K Matching
Paid Holidays
Paid Sick Days
Paid Time-Off
Paid Volunteer Time
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Medical Insurance
Family Coverage (Insurance)
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
June 7, 2024

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