Senior Decision Scientist

• Bring hands-on experience in creating curated data models, analytical approaches, and metrics strategies to deliver actionable insights
• Collaborate with cross-functional teams and senior management to identify goals, key business questions and objectives that can be addressed through advanced analytics or BI solutions
• Perform high-level ad-hoc analyses, quantitative and qualitative, to guide business improvement hypotheses and drive decisions
• Own the design, development, and support of the data models and visualization dashboard, extracting data from the data warehouse (Snowflake, Big Query / Oracle data warehouse) or other sources.
• Collaborate with Data Engineers to ensure data quality, availability, and integrity for analysis.
• Advocate for business intelligence solutions or statistical techniques that will help the organization meet its goals by providing clear and concise insights to both technical and non-technical stakeholders
• Build a scalable data infrastructure that meets the needs of the business as it enters a period of rapid growth
• Establishing a robust and efficient business reporting process and building key management and workflow reports with input from management and executive leadership team
• Proactively identify trends in market and business performance, surfacing findings on a regular basis
• Be a hands-on leader that will leverage enterprise data to enable Cockroach Labs enormous growth potential in a profitable and efficient manner.

Some of the key analytical workstreams the Decision Science team will work on includes:

• Developing analytical frameworks to measure and oversee the performance of our product features
• Identify and prioritize valuable customer partnerships by using tailored metrics that will provide insights into the impact of partnerships on revenue, customer retention, and market expansion, helping us make data-driven decisions about partnership investments.
• Analyze how various product features contribute to overall product revenue.

• BS, MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational research)
• 5-8 years of experience in data science , decision science or business intelligence, building and architecting data solutions, SaaS experience is a plus
• Excellent communication skills with the ability to present complex findings in a clear and understandable manner
• Strong problem-solving skills and the ability to work on multiple projects simultaneously
• 5-8`+ yrs of hands-on experience writing and optimizing advanced SQL queries, with large-scale, complex datasets
• Advanced proficiency in data visualization tools (e.g. Tableau, Looker) with hands-on experience in data modeling and reporting in data visualization tools such as Looker, or a similar tool
• Working proficiency in Python
• Working knowledge of basic statistical methods and techniques for hypothesis testing, regression analysis, experimental design and machine learning

• Experience working with database products
• Worked with tools such as Airflow, Presto/Hive, Spark, or any other streaming technologies to process incredible volumes of data
• Experience working in GCP/AWS/Azure cloud platform and knowledge of cloud utilities/tools
• Familiarity with sophisticated data architecture and tools (e.g. data warehouses, data pipelines)

• 100% health insurance coverage (for you and your dependents!)
• Paid parental leave (with baby bucks)
• Flexible time off