Senior Data Scientist, AppOmni
$190-215k
+ Stock Options
SaaS security management software
Open for applications
SaaS security management software
201-500 employees
Open for applications
$190-215k
+ Stock Options
201-500 employees
Company mission
To prevent SaaS data breaches by securing the applications that power the enterprise.
Role
Who you are
- 7–10+ years of experience as a Data Scientist, Applied Scientist, Data Engineer, or Machine Learning Engineer, with ownership of production systems
- Strong experience building and operating large-scale data pipelines and distributed data processing systems
- Hands-on experience within the GCP ecosystem, particularly big data services such as Dataproc, Dataflow, PubSub, and related storage and data lake technologies
- Strong proficiency in Python, PySpark, and modern data processing frameworks
- Experience working across multiple disciplines of the data stack, including data engineering, analytics, infrastructure, monitoring/governance, APIs, and visualization
- Experience with real-time or streaming systems and orchestration frameworks such as Airflow and Apache Beam/Dataflow
- Strong foundation in statistical modeling, analytics, and applied data science techniques
- Experience designing and maintaining scalable ETL workflows and production data infrastructure
- Familiarity with monitoring, observability, governance, and reliability practices for production data systems
- Ability to thrive in highly cross-functional environments and contribute across a wide range of technical challenges
- Demonstrated versatility — a background that spans multiple types of data applications, infrastructure, and analytics work is highly valued
- Experience partnering closely with Product and Engineering to deliver customer-facing capabilities
- Strong written and verbal communication skills
- Nice-to-have: Experience with Databricks
What the job involves
- AppOmni is looking for a Senior Data Scientist to help define and build scalable, production-grade data pipelines and intelligent analytics capabilities within our SaaS platform.
- In this role, you will apply data science, statistical modeling, batch and real-time analytics, and large-scale data engineering to transform complex datasets into actionable product insights and customer-facing capabilities
- You will work across a broad range of technical domains on pipelines, including ETL, statistical modeling, machine learning (supervised and unsupervised) and LLM as well as monitoring, governance, visualization, and production modeling systems
- We are looking for a highly versatile engineer-scientist — someone who has worked across different layers of the modern data stack and enjoys continuing to solve a wide variety of technical problems
- This role is ideal for someone whose background spans data engineering, infrastructure, analytics applications, statistical modeling, and operational production systems
- You will be responsible for end-to-end data workflows, from ingestion and transformation through analytics implementation, orchestration, monitoring, governance, and production operations
- This is a hands-on individual contributor role with technical leadership responsibilities, partnering closely with Product and Engineering to build reliable, scalable, and intelligent data-driven systems
- Design and implement scalable batch and real-time data processing systems across large and complex datasets
- Build and optimize ETL and streaming data pipelines using modern GCP big data technologies
- Lead development decisions around model choices, data architecture, data modeling, pipeline orchestration, analytics infrastructure, and production systems
- Develop statistical models and analytics capabilities that support product intelligence and operational insights
- Design and maintain production-grade data workflows using technologies such as Airflow, Dataflow, PubSub, and PySpark
- Contribute across multiple areas of the data ecosystem, including data engineering, monitoring and governance, visualization, and analytics tooling
- Establish monitoring, observability, and governance practices for data quality, pipeline reliability, and production health
- Partner closely with Engineering to operationalize scalable data infrastructure and analytics systems
- Collaborate with Product to shape intelligent, data-driven product capabilities and user experiences
- Act as a technical leader and thought partner across data engineering, analytics, infrastructure, and applied modeling initiatives
- Help evolve internal tooling and frameworks that improve scalability, reliability, and operational efficiency across the platform
Our take
Security is key in the online world, especially for companies that sell software as a service (SaaS). AppOmni's security management platform is designed to help SaaS companies protect their software from phishing attacks, malware, and other malicious threats. It can discover risks that may potentially harm businesses’ services, protect sensitive data from malicious hands, and even monitor and fix any issues that are found.
AppOmni’s customers include large enterprises and tech names such as Dropbox, Ping and Accenture, as well as large Fortune 100 financial and healthcare companies. Collectively, it now secures apps covering 78 million users and 230 million exposed data records, and more than 9 billion monthly events.
Although AppOmni has made a name for itself, it has some notable competitors, such as Insight VM and Amazon Guard Duty. The company is continuing both its international growth and building out the platform to remain on top of the competition.
Steph
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2022
$70m
SERIES C
Apr 2021
$40m
SERIES B
Total funding: $123m
Company benefits
- Autonomous Schedules: You know best how to get your work done, and sometimes that means starting the morning with a ski run before showing up to your home office or co-working space
- Home Office: As a new hire benefit, we provide a generous stipend for eligible expenses reimbursement for your home office / computer equipment set up in addition to a company-provided laptop
- Flexibility and Time Off: Have the freedom to take the time off you need with no required accruals and no set limits — just get your manager’s approval and go. We support our team in relaxing, recharging, and reconnecting
- Healthcare: AppOmni provides comprehensive insurance options for eligible employees – including medical, dental and vision, with substantial portions of the premiums covered by AppOmni
- Life Insurance & Disability Benefits: AppOmni provides group life, AD&D, STD and LTD benefits at no cost to our employees, as well as additional supplemental life insurance options
- Employee Assistance program: Our employees have access to LifeWorks Employee Assistance Program including in-person, phone, or video consultations with licensed counselors and online educational tools and resources
- Retirement Savings: We offer a 401(k) tax-advantaged retirement savings account as of the employee’s first paycheck with AppOmni covering all fees for the account
- Wellness and Connections: We value the mental health and overall wellness of our team and offer a monthly reimbursement for related wellness expenses. Participate in groups or be a champion for a cause that you’re passionate about
- Career Development: The best employees need room to grow professionally, and look for opportunities to hone their skills. We provide professional enablement programs and performance management reviews
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Brendan O'Connor
(Co-Founder & CEO)Started out working in Information Security at Tech Electronics and First Bank. Previous CSO of Salesforce and Security CTO of ServiceNow.
Brian Soby
(Co-Founder & CTO)Received an MBA from Berkeley, and then joined Raytheon as a Network Security Engineer. Previous Director of Product Security at Salesforce, and Director of Security at Taulia Inc. Current Partner at Freefly Security.
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