Principal Data Scientist - Product Experiences

Snowflake Computing
US - California - San Mateo
July 2, 2024
IT

Build the future of data.
Join the Snowflake team.

Help build products you use and love for a data platform like no other!

Snowflake's Product Data Science team is looking for a full-stack Principal Data Scientist to come aboard and support our Product Experiences team.
This team is tasked with creating powerful and delightful features for developers, data scientists, business leaders, and other users engaging with our platforms every day.
In this role, you will work closely with our Product and Engineering teams developing products like SQL Worksheets, Snowflake Notebooks, data engineering tools, and the user interfaces connecting them all together.
You will advance long-running data science initiatives, develop and refine our technical capabilities, and act as a critical voice in product development.
This is a strategic, high-impact role that will help shape the future of Snowflake products and services.
AS A FULL-STACK PRINCIPAL DATA SCIENTIST AT SNOWFLAKE YOU WILL:

Create data products that solve real business problems
Partner with our product and engineering teams to shape roadmaps, design metrics, and build analytical workflows to evaluate and drive product success and effectiveness
Influence and collaborate closely with engineers, product managers, and executives to inform decision making with data and to identify opportunities to create more value for our customers.
Be an early adopter and power user of our features and products
Build scalable and shareable advanced analytics/ML/experimentation frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve user experience
Communicate insights and best practices in leadership briefs, publications, and industry reports
Think creatively and resourcefully to find solutions to complex, often unstructured problems

OUR IDEAL CANDIDATE WILL HAVE:

MS/Ph.D.
in quantitative discipline
12+ years relevant experience
Significant experience working with SQL & Python including numpy, pandas, and visualization libraries
Experience developing code in a collaborative environment- able to comfortably use git and give thoughtful PR reviews
Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and to drive impactful decisions, with an eye for great ways to visualize data
The ability to think critically about user behavior, work closely with product teams, and translate product questions into testable hypotheses
Familiarity with statistical testing or causal inference is a plus

Familiarity with data modeling tools like Airflow, UI layers like Streamlit, and Snowflake is a big plusWHY JOIN OUR TEAM AT SNOWFLAKE?

Joining our team at Snowflake means being part of a dynamic, innovative and a fast-paced environment where your work directly contributes to the advancement of AI technologies and full stack analytics + engineering in the cloud data space.
You'll have the opportunity to work with some of the brightest scientists in the industry, access cutting-edge technologies, and shape products that redefine how businesses leverage data.
At Snowflake, we foster a culture of learning, collaboration, and growth, where your ideas and contributions are valued and supported.
If you are passionate about driving the future of AI and enjoy tackling challenging problems, our team is the perfect place for you to thrive and make a significant impact.

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.
Associated topics:
data engineer, data manager, data quality, data warehouse, data warehousing, etl, hbase, mongo database, sql, sybase

Read the full job description and apply online on the recuiter's web-site

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