Data Scientist, Transmit Security
Customer Experience
$160-200k
OTE
Customer identity and access management platform
Open for applications
Customer identity and access management platform
201-500 employees
Open for applications
$160-200k
OTE
201-500 employees
Company mission
To create a world where businesses can move fast, be secure, and never compromise.
Role
Who you are
- 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)
- Tools and Technical Environment
- SQL-first investigation workflows paired with Python analytics
- Dashboards and operational monitoring for customer outcomes and system health
- Git-based workflows for detection logic/config changes with review gates
- Collaboration with engineering on instrumentation, data quality, explainability, and scalable investigation tooling
What the job involves
- The Customer Experience Data Science function partners with customers and internal stakeholders to translate fraud signals into measurable business outcomes: improved detection efficacy, reduced false positives, faster time-to-mitigation, and product feedback loops that scale across tenants. The Senior Data Scientist operates as a technical lead, owning complex investigations and shaping repeatable analytical and decisioning frameworks
- The Data Scientist on the Customer Experience team is responsible for leading high-impact customer investigations, driving detection and decisioning improvements (rules/features/model recommendations), and influencing product direction through evidence-based insights.
- This role requires a blend of fraud domain expertise, strong applied analytics/ML, and executive-level communication in customer-facing contexts
- 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
Our take
Transmit Security is a customer identity and access management (CIAM) platform that is on a mission to rid the world of passwords. Organizations lose millions every year due to unsafe password-based authentication - with weak passwords accounting for 80% of all data breaches.
The company offers a developer-friendly platform that provides passwordless authentication, fraud detection, and identity verification. Whilst the company serves many of the world’s largest banks, insurers and retailers, being collectively responsible for more that $2T in annual commerce, it is not without competitors. Both Microsoft and Apple have developed password-free authentication.
Nonetheless, Transmit Security has undoubtedly carved out significant space in the market. Since its impressive series A funding - the largest cybersecurity funding round of its kind in history - the company has experienced record growth and has added new customers and been recognised as a Leader in Customer identity and Access Management by The Forrester Wave™, all pointing towards a promising future of continued success.
Steph
Company Specialist at Welcome to the Jungle
Insights
-13% employee growth in 12 months
Company
Funding (2 rounds)
Jun 2021
$543m
SERIES A
Jan 2017
$43m
EARLY VC
Total funding: $586m
Company benefits
- Financial benefits: Fully funded healthcare, 401K, pension programs, stock options, performance bonuses, employee referral program (geographic limitations may apply)
- Work life balance: Paid time off, flexible working hours, work from home and office, dog and child friendly offices
- Fun guaranteed: Happy hours, team events, celebrations, casual dress environment and fully stocked kitchens
Company HQ
Tel Aviv-Yafo, Tel Aviv District
Leadership
Micky Boodaei
(Co-Founde r& CEO)Previously founded and acted as CEO for Trusteer and co-founded Imperva.
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