AppOmni

AppOmni

Senior Data Scientist

Remote - USA · Senior

Sponsorship not specified$190k-$215kDetected 14 days ago
PythonGCPMachine LearningAirflowData EngineeringData ScienceLLMsAI OrchestrationStatisticsCybersecurityDetection EngineeringSensorsResearchLeadershipCommunication

About the role

  • 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.

Responsibilities

  • 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.
  • Support 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.
  • 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 thought partner across data engineering, analytics, infrastructure, and applied modeling initiatives.
  • 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
  • We believe diversity fuels innovation and drives growth by bringing a wealth of different perspectives and skills.

Requirements

  • 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.
  • 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.
  • Nice-to-have: Experience with Databricks.

Nice to have

  • Experience with Databricks.

Skills

  • About AppOmni
  • AppOmni prevents SaaS data breaches by delivering end-to-end SaaS security.
  • The largest and fastest-growing global enterprises across industries trust AppOmni to secure their SaaS applications.

Compensation

  • The annual base salary compensation range in the U.S. for this role is: $190,000 - $215,000 USD.
  • Higher compensation may be available for candidates in higher cost of living markets.
  • Final offer amounts are determined by factors such as the final candidate's skills, qualifications, and experience, as well as business considerations and peer compensation.
  • To do this, we take a holistic view of compensation, one that values not just the immediate financial package but also the long-term growth of both our employees and our company.
  • We're committed to pay equity and transparency and encourage all candidates to discuss their salary expectations with us early in the application process.

Benefits

  • All benefits are subject to eligibility requirements and plan details.
  • Compensation & Benefits

Company info

  • 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.
  • Our team is determined to make a difference to positively impact our way of life by securing the technology that is changing the world.

Visa & Work Authorization

  • Applicants will not be discriminated against because of race, color, creed, national origin, ancestry, citizenship status, sex, sexual orientation, gender identity or expression, age, religion, disability, pregnancy, mar
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This listing is sourced directly from AppOmni's careers page and normalized into a canonical job model.