Data Scientist, Couchbase
$130-170k
2-3 days a week in office (Santa Clara, CA)
Operational data platform for AI
Job no longer available
Operational data platform for AI
501-1000 employees
Job no longer available
$130-170k
2-3 days a week in office (Santa Clara, CA)
501-1000 employees
Company mission
To simplify how organizations develop, deploy, and run modern applications wherever they are.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
- Solid experience (5+ years) in a data science, data engineering, or software engineering role, preferably in a cloud computing or database company
- Expertise in programming languages such as Python, R, Java, or Scala and familiarity with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Proficiency in SQL, with experience in both relational and NoSQL databases. Knowledge of Couchbase is a plus
- Experience with big data technologies and cloud platforms (AWS, Azure, Google Cloud)
- Exceptional analytical, problem-solving, and critical thinking skills
- Excellent communication and collaboration abilities to work effectively across different teams
- A passion for continuous learning, experimentation, and applying new technologies and techniques to solve complex problems
- The ideal candidate is a continuous learner, committed to using data to find solutions and efficiencies in complex systems
What the job involves
- The Data Science Engineer at Couchbase will play a crucial role in transforming data into actionable insights and wisdom that drive decision-making and innovation
- This role involves close collaboration with Product Management and Site Reliability Engineering (SRE) teams to ideate, verify hypotheses, optimize resources, identify root cause analyses (RCAs), uncover opportunities within the Couchbase ecosystems, and work with engineering to ideate on the features
- Collaborative Ideation: Work closely with engineering and product to brainstorm, design, and validate new features and improvements based on data-driven insights
- Resource Optimization: Partner with SREs to optimize resource usage, improve system performance, and ensure scalability and reliability of our cloud database solutions
- Root Cause Analysis: Utilize data analysis to identify root causes of issues within our systems and propose actionable solutions
- Opportunity Identification: Develop systems and algorithms to continuously identify and leverage opportunities for growth and improvement within the Couchbase ecosystem
- Data-Driven Wisdom: Transform internal and public data into actionable insights, driving innovation and strategic decisions across the company
- Continuous Improvement: Actively seek out new technologies, methodologies, and best practices to continually enhance our data processing and analysis capabilities
Our take
Critical functions for digital businesses such as computing and storage have become cheaper by orders of magnitude with the advent of cloud computing. However, these businesses still face the challenge of architecting their services under this paradigm. Couchbase’s NoSQL database is designed to help organizations build scalable, distributed systems that take advantage of cloud-native infrastructure.
The company's major bets on Kubernetes, mobile and NoSQL have paid off too. With many large enterprises now treating Couchbase as mission-critical infrastructure, a trajectory that culminated because of ts 2021 IPO. While it operates in a highly competitive database market, the company has continued to grow post-IPO and is now positioning itself around the next shift in enterprise architecture: AI-native applications.
The recent launch of Couchbase AI Services reflects an effort to unify operational data, vector search and model hosting within a single platform, reducing the complexity that often prevents generative AI and agent-based systems from moving beyond proof-of-concept. By embedding governance, validation and security controls directly into the data layer, Couchbase is aiming to make its database a core foundation for production AI workloads.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
May 2020
$105m
SERIES G
Mar 2016
$30m
SERIES F
Total funding: $251m
Company HQ
Cypress, San Jose, CA
Leadership
BJ Schaknowski
(CEO)Prior to joining Couchbase in 2025, BJ was the CEO of symplr. He also served as the Chief Sales & Marketing Officer at Vertafore and as an SVP of Marketing, Sales & Services at LexisNexis Software Solutions.
Veronica Curran
(CPO)Veronica Previously founded Magnolia People Solutions where she served as a Managing Partner for nearly 2 years. Prior to that, she was the Chief People and culture Officer at SmartBear and the CPO at Alumni Ventures Group.
Gopi Duddi
(CTO)Gopi joined Couchbase in 2022 as an SVP of Engineering, moving into the role of CTO in 2025. Prior to this, he spent 10 years at Amazon AWS, joining in 2012 as a Senior Manager of Database Services before moving into the role of GM. He also spent 7 years at IBM In various Managerial roles.
Josh Harbert
(CMO)Josh is also the co-founder and President of SustainableIT.org. Previously, he served as the CMO at Delphix and the VP of Marketing at Tanium and Qumulo.
Amir Jafari
(CFO)Amir is also the CFO/Head of Finance & Operations at Blend. Previously, he served as the CFO at Plastiq and Reputation.com.
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