Transmit Security · 23 hours ago
Data Scientist Customer Experience
United States
Full-time
Remote
Senior Level
$160K/yr - $200K/yr
6+ years expTransmit Security is a cross-channel identity and orchestration platform designed to simplify identity-related projects. The Data Scientist on the Customer Experience team is responsible for leading customer investigations, improving detection strategies, and influencing product direction through insights.
Cyber SecurityFraud DetectionIdentity ManagementSecurity
Responsibilities
Lead complex, multi-signal investigations (e.g., account takeover, automation, fraud rings, API abuse) and produce clear, actionable remediation plans
Serve as the CX technical authority in escalations, guiding hypothesis formation, analysis strategy, and root-cause conclusions
Translate customer context (risk tolerance, user base, operational constraints, compliance) into measurable detection and tuning objectives
Identify emerging fraud patterns and cross-tenant trends; conduct quarterly intelligence briefs for customers and recommended mitigations
Design and recommend detection strategies combining rules, features, and (where applicable) model-driven scoring to reduce fraud while controlling false-positive costs
Develop reusable feature definitions and tuning approaches that can be applied across customers (not only one-off tenant fixes)
Partner with engineering and products to shape product roadmap priorities, improve explainability and investigation tooling (e.g., “why did this fire,” attribution, drill-down paths)
Define and own CX measurement systems: detection quality, false-positive impact, operational metrics, customer outcomes, and performance over time
Lead offline evaluation and backtesting methodologies for fraud controls and customer configuration changes
Drive experimentation practices (A/B where feasible, quasi-experimental, pre/post with controls) and ensure results are decision-grade
Detect data drift and performance degradation signals; propose retraining triggers and/or mitigation plans in partnership with ML/Engineering
Create “investigation packs” for R&D: evidence, root cause hypothesis, recommended technical changes, and measurable acceptance criteria
Mentor and develop other DS/analysts on CX through playbooks, code reviews, investigation standards
Partner with GTM teams to quantify customer value, communicate outcomes, and support renewals/expansions through data-backed narratives
Qualification
Required
6+ years in data science / applied analytics roles with increasing scope and ownership; fraud/risk/identity/security experience strongly preferred
Expert-level SQL and strong Python for analytics and production-grade analysis (testing, modularity, version control habits)
Experience operating in customer-facing environments, including executive communication and handling escalations with calm, credible technical leadership with proven ability to lead end-to-end analytical initiatives
Deep competence in statistics and evaluation: hypothesis testing, segmentation, regression/classification metrics, time series / anomaly detection concepts, experimental design and causal inference fundamentals
Bachelor's degree in a quantitative field required; advanced degree preferred (MS/PhD)
Hands-on experience with real-time decisioning systems, streaming/event-based analytics, and latency-aware detection constraints
Familiarity with modern ML methods used in fraud: supervised classifiers, graph/ring detection approaches, anomaly detection, and model monitoring
Experience deploying or operationalizing models (MLOps exposure), including monitoring, drift detection, and retraining governance
Experience with identity/authentication ecosystems (MFA modalities, risk-based authentication, device intelligence, bot defense signals)
Preferred
Advanced degree preferred (MS/PhD)
Company
Transmit Security
Transmit Security offers a CIAM platform that provides authentication, authorization, fraud protection, and embedded orchestration services.
201-500 employees
H1B Sponsorship
Transmit Security has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2022 (6)
2021 (1)
2020 (3)
Funding
Current Stage
Growth StageTotal Funding
$583M2021-06-22Series A· $543M
2017-01-12Undisclosed· $40M
Leadership Team
Mickey Boodaei
CEO and Co-Founder
Rakesh K. Loonkar
President & Co-Founder
Recent News
2025-02-09
Company data provided by crunchbase