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.

• In your first month, you will go through the Cockroach Labs onboarding process and start to build relationships with stakeholders across the company. You will understand our current data architecture and the internal and external resources we use to maintain it. You will start to prioritize the current backlog of data requests.
• After 30 days, you will have a grasp on the major questions the product management team needs to answer, as well as the executive-level questions that require coordination between disparate data sets. You will update the roadmap priority and put in place key processes for building out this function. You will develop a point of view on the direction we need to take our data platform to support our product operations.
• After 90 days, you will be fully integrated into the team. You will put in place the major processes for supporting the Product and the broader organization, and make incremental improvements to our data platform that demonstrably improve our ability to make decisions. You will socialize a strategy for data in the Product team and how this will support the needs of other departments in the future.

• BS, MS or Ph.D. in quantitative fields (eg, Statistics, Math, Computer Science, Physics, Economics, Operational research)
• 3-5 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
• 3-5 years of hands-on experience writing and optimizing advanced SQL queries with large-scale, complex datasets
• Advanced proficiency in data visualization tools (eg 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 (eg data warehouses, data pipelines)