AppOmni
SaaS security
SeniorDataScienceProductEngineer
Neural analysis suggests this role is
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“Senior Data Science Product Engineer at AppOmni. Skills: Data Science, Machine Learning, AI, Product development, Technical leadership, System design, Deployment, Maintenance. Envisioning, leading, managing, designing, deploying, and maintaining Data Science and Machine Learning systems. Product roadmap ownership”
What You'll Achieve.
Maximize add-on value; Minimize costs; Meet latency and cost requirements; Maximize ROI
Industry & Context.
Problem-solving and critical thinking; Ability to analyze complex problems; Identify potential issues; Develop innovative solutions
What They're Looking For.
Must Have
At least 5 years of hands-on experience in product development as an engineer and individual contributor, At least 3 years in the area of software, data science or machine learning, At least 5 years of experience managing, taking to production and giving production support on a combination of several global multi-million dollar products or projects with more than 20 engineers involved and more than 10 other employees in other cross functional teams, and projects or products involving a small team with less than 5 engineers, At least 4 years of experience in cybersecurity, automotive, energy or health care industries, Experience handling large volumes of unlabeled data with complex schemas, Application of statistics and unsupervised machine learning, Experience both as an individual contributor as well as project or product leader, Handled with other subject matter experts, budgets, legal contracts and statements of work with engineering contracting houses, suppliers and customers, Established and managed internal KPI (key performance indicators) for products and projects, Degree in a relevant field such as Engineering or Computer Science
Nice to Have
3 years of experience if holding advanced degree, 3 years in the area of software, data science or machine learning if holding advanced degree, Worked in both big enterprises (more than 100k employees) as well as small companies (less than 500 employes), Familiar with waterfall and agile processes and compliance or certification frameworks such as APQP, IATF 16949, ISO, NIST, EU AI Act or similar, Experience with ML services in Cloud Platforms like GCP, Infrastructure as code, Advanced degree also in a related field of Engineering, Computer Science, Machine Learning or Artificial Intelligence
What You'll Do.
and maintaining Data Science and Machine Learning systems
Product roadmap ownership
High-level architecture and practical development
Hands-on implementation
Leading development efforts
Mentoring engineers and product managers
Making key architectural decisions
Developing greenfield projects
Implementing proof of concepts
Architecting end-to-end Data Science and Machine Learning systems
Choosing the best implementation approach
Managing and leading the UX and UI development for visualization aspects
Using data-driven solutions to address complex cybersecurity problems
Being responsible for pipeline metrics
Optimizing model and pipeline performance
Driving technical strategy by evaluating third-party tools versus building in-house solutions
Establishing data governance and security standards
leading and implementing incremental roadmap and engineering development plans
How You'll Work.
Team & Collaboration
Partner with Sales, Marketing, Customer Support and other departments across the organization; Work effectively with Product, Engineering, Field, and other cross-functional teams
Communication Scope
Excellent communication and collaboration skills
Process & Methodology
Managing, taking to production and giving production support on a combination of several global multi-million dollar products or projects, Managing projects or products involving a small team, Managing internal KPI (key performance indicators) for products and projects, Creating, leading and implementing incremental roadmap and engineering development plans
Full Job Description
AppOmni prevents SaaS data breaches by delivering end-to-end SaaS security. Our platform gives security teams clear visibility into posture, access, third-party connections, AI-related activity, and with built-in discovery to identify unsanctioned SaaS and Shadow AI tools. Backed by continuous monitoring and real-time threat detection, AppOmni helps enterprises identify and resolve risks early, keeping their SaaS applications secure. Recognized as a Frost Radar™ 2025 Leader and Great Place To Work®, AppOmni continues to set the standard for innovation and customer value in SaaS security. The largest and fastest-growing global enterprises across industries trust AppOmni to secure their SaaS applications. About the Role The Senior Data Science Product Engineer plays a key role in the company’s AI strategy. This role offers the opportunity to make a meaningful impact across the whole platform. The Senior Data Science Product Engineer is a hybrid position covering the fronts of technical implementation, technical leadership and product management. This position focuses on envisioning, leading, managing, designing, deploying, and maintaining Data Science and Machine Learning systems , focusing on product roadmap ownership, high-level architecture and practical development, and hands-on implementation. What You’ll Do Technical Leadership: Leading development efforts, mentoring engineers and product managers, and making key architectural decisions that involve Data Science, Machine Learning and AI. Cross-functional collaboration: Partner with Sales, Marketing, Customer Support and other departments across the organization for a full end to end ownership from the product and technical perspective as well as internal enablement and customer support. Develop greenfield projects and implement proof of concepts, including hands-on coding and connection to the product vision. Architect end-to-end Data Science and Machine Learning systems by choosing the best implementation appro
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