Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
We are looking for a Solutions Consultant to be part of our Professional Services team to deploy cloud products and services for our customers. This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. The ideal candidate will have the insight to connect a specific business problem and Snowflake's solution and communicate that connection and vision to various technical and executive audiences.
The person we're looking for shares our passion for reinventing the data platform and thrives in a dynamic environment. That means having the flexibility and willingness to jump in and get it done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving data and analytics technologies, and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers.
AS A SOLUTIONS CONSULTANT AT SNOWFLAKE, YOU WILL:
- Be responsible for delivering exceptional outcomes for our teams and customers during our migration projects. You will engage with customers and APJ consulting teams to assist with the migration from legacy environments into Snowflake and or Snowpark
- In addition to customer engagements, you will work with our internal team to provide requirements for our Snowconvert utility, based on project experiences. This ensures that our tooling is continuously improved based on our implementation experience.
OUR IDEAL SOLUTIONS CONSULTANT WILL HAVE:
- University degree in compute Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake's most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.
PLEASE NOTE: The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance.
AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:
- Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.
- Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.
- Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.
- Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.
- Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.
- Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.
- Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.
- Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.
OUR IDEAL CANDIDATE WILL HAVE:
- MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
- 8+ years of relevant data science or related experience.
- Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.
- Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).
- High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
- Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.
- The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.
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 growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $168,000 - $220,500.
- Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.
The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
