Senior Data Scientist - Product at Snowflake

Menlo Park, California, United States

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$182,000 – $242,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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
Follow the company’s confidentiality and security standards for handling sensitive data and abide by the company’s data security plan

Responsibilities

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
Work closely with Product and Engineering teams on core operations, innovative AI/ML tools, and fastest-growing new and experimental features
Work on long-running analytical initiatives yielding substantial product enhancements

Skills

Key technologies and capabilities for this role

SnowflakeMLCausal InferenceData PipelinesStreamlitSnowsightData ModelingAnalytics

Questions & Answers

Common questions about this position

What is the salary range for the Senior Data Scientist position?

The salary range is $182K - $242K.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Data Scientist role?

Required skills include MS/Ph.D. in a quantitative discipline, 8+ years of data science experience, expert-level SQL and Python (scikit-learn, numpy, pandas), experience with large-scale machine-generated data, fluency with MPP databases like Snowflake, and strong data-driven storytelling skills.

What is the work environment like at Snowflake for this role?

The role involves working closely with Product and Engineering teams in a dynamic environment on high-impact initiatives, requiring flexibility and a scrappy approach to complex problems.

What makes a strong candidate for this Senior Data Scientist position?

Ideal candidates have an MS/Ph.D. in a quantitative field, 8+ years of experience, expert SQL/Python skills, experience with large-scale data and MPP databases, and the ability to tell data stories that influence leaders while thriving in dynamic settings.

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters

2012Year Founded

$1,341.3MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

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.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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