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Senior Data Scientist, Finance
Posted on 7/1/2022
INACTIVE
Locations
Burlingame, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
BigQuery
Data Structures & Algorithms
Redshift
Research
Snowflake
SQL
Python
Operations Research
Requirements
  • 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 validating ML models for business-critical use cases
  • 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
Responsibilities
  • Work with time-series datasets to refine and extend the core forecasting models and algorithms we use for many of our key financial metrics
  • Be the owner of ML models that are critical to Snowflake's business
  • Design and operationalize a rigorous continuous improvement framework to ensure our forecasting models remain highly accurate and responsive to business needs
  • 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
Snowflake

1,001-5,000 employees

Data warehouse for the cloud
Company mission
Snowflake has become a global force to help mobilize the world’s data. Snowflake enables thousands of organizations to have seamless access to explore, share, and unlock the true value of their data.
Benefits
  • We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.
  • A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.
  • Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.
  • Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.
  • Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.
  • Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.
Company Values
  • Put Customers First
  • Integrity Always
  • Think Big
  • Be Excellent
  • Make Each Other the Best
  • Get It Done
  • Own It
  • Embrace Each Other's Differences