We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
The Marketing Intelligence team has the vision to predict real time ROI to dynamically optimize our marketing programs and ultimately disrupt the aged B2B marketing analytics practices. Our mission is to build scalable solutions and models to enable Snowflake marketing to become the industry’s most insights-driven team. We are looking for talented candidates who can push the boundaries of our existing models and help us to design new state-of-the-art solutions to marketing data science problems that we can share with customers and partners. If you are passionate about using data science to solve real world problems and looking for a role that values your creativity and insights, we have a unique opportunity for you.
AS A SENIOR DATA SCIENTIST AT SNOWFLAKE, YOU WILL :
- Collaborate with a team of high-performing analytics and data science professionals to identify business opportunities, and develop algorithms and methodologies to address them
- Drive technical advances in account scoring, lead scoring, and next-best action models
- Develop novel approaches to explain model predictions to stakeholders in Sales and Marketing
- Think creatively, proactively, and futuristically to identify new opportunities within Snowflake’s long term roadmap for data science
- Conduct rigorous research focused on solving business problems with Snowflake that can be shared with our customers and partners
- Elevate the art of data science practiced at Snowflake
- Act as “customer zero” for Snowflake so we can continue to evolve an even more powerful, intuitive Snowflake product and demonstrations of our internal Snowflake on Snowflake utilization.
OUR IDEAL CANDIDATE WILL HAVE :
- BS/MS in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
- 5+ years of experience with Python, including scikit-learn, numpy, and pandas
- 5+ years experience working with SQL and relational data
- Experience with Airflow & dbt
- Experience building, deploying, and maintaining ML models in production
- Willing to learn and use Snowflake product features, including Snowpark, Streamlit
- Eager to establish deep and trust relationships with business stakeholders and solve real business problems based on data, particularly via data science approaches
- Familiarity with B2B marketing and sales metrics and how those metrics evolve in the consumption business model
- Excellent communication skills to summarize insights and recommendations to audiences of varying levels of technical sophistication
- Ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful
- Willing to mentor and guide team members to clear roadblocks