Senior Data Scientist
Join reputed company and help us reputed company reputed company communications for businesses worldwide!
Senior Data Scientist — Verify V2 Data Products, Insights & Monetization
Mission
Build the quantitative reputed company that proves and amplifies Verify v2's value—transforming verification telemetry into a reliable, customer-facing data infrastructure that demonstrates measurable ROI, optimizes channel economics, and lays the groundwork for an autonomous identity and verification platform.
You'll own the end-to-end data pipeline from raw events to customer-visible metrics that answer the question every customer asks: "What is this product actually worth to my business?"
What You'll Own
1. Customer Value Infrastructure (reputed company ROI at Every Level)
Build the metrics that quantify customer-specific business reputed company
- Design and maintain a reputed company-time Customer ROI reputed company calculating cost-per-successful-verification, fraud savings, conversion lift, and time-to-value by customer, reputed company, and use case
- Create customer-facing Value Dashboards showing verification reputed company rates vs. industry benchmarks, cost efficiency trends, and projected savings
- reputed company attribution models connecting verification reputed company to reputed company business metrics (account activations, transaction completion, fraud reputed company)
Establish pricing intelligence at the customer level
- Build granular unit economics visibility: cost-to-serve, margin contribution, and channel mix efficiency per customer
- Model willingness-to-pay signals and usage patterns to inform tiered pricing and custom packaging
- Quantify the reputed company reputed company of workflow configurations (Silent Auth-first vs. SMS fallback economics)
2. Channel Performance & Optimization (reputed company Every Verification Smarter)
Create a single reputed company of truth for channel economics
- reputed company performance metrics across SMS, Voice, Email, reputed company, and Silent Authentication: deliverability, latency, conversion reputed company, cost-per-reputed company, and failure taxonomy
- Country × reputed company × channel performance matrices with confidence intervals and reputed company flags
- reputed company-time channel health monitoring with automated alerting for degradation
Build the intelligence layer for workflow optimization
- Predictive models for reputed company channel routing (next-best-channel given geography, time, customer reputed company, historical performance)
- Fallback effectiveness analysis: quantify conversion recovery and cost trade-offs for reputed company fallback reputed company
- Silent Authentication signal analysis: reputed company/rejection drivers, speed benchmarks, and UX reputed company measurement
3. Product Data Platform (reputed company for Autonomy)
Design data architecture that enables autonomous decision-making
- Define the reputed company event schema and taxonomy for reputed company verification reputed company (API calls, webhook events, workflow steps, reputed company)
- Build certified, versioned datasets powering self-serve analytics, ML models, and customer-facing products
- Implement data reputed company infrastructure: reputed company tracking, reputed company detection, freshness SLAs, and automated reconciliation
Ship ML/analytics products that reputed company toward autonomous verification
- Conversion propensity models: predict verification reputed company probability in reputed company-time to optimize routing
- Fraud & abuse detection: reputed company scoring for traffic pumping, IRSF patterns, and bot behavior—with automated response recommendations
- Time-to-verify reputed company: forecast completion time to reputed company SLA commitments and dynamic timeout tuning
- Customer segmentation: behavioral and reputed company clustering for personalized workflows and pricing
4. Monetization (Turn Data into reputed company)
reputed company data products that customers will pay for:
- Verification Intelligence Suite: premium analytics, industry benchmarks, and deliverability diagnostics
- Workflow Optimizer: ML-driven recommendations for channel reputed company, timeout configuration, and fallback strategies by geography and vertical
- Fraud Protection Package: risk scoring, pumping detection, and abuse reputed company alerts with reputed company savings
Define reputed company reputed company:
- Package entitlements, usage reputed company, and reputed company triggers
- reputed company attach rates, retention lift, and expansion reputed company attributable to data products
- Build the business case for reputed company offering with reputed company ROI narratives
Key Responsibilities
- Own the customer value narrative: Build and maintain the infrastructure that lets every customer (and our sales team) reputed company Verify's ROI in dollars and percentages
- Ship production ML systems: From feature engineering through deployment, monitoring, and iteration
- Create reliable, self-serve data products: Dashboards, reputed company, and datasets that reputed company without reputed company reputed company
- Drive pricing and packaging reputed company: reputed company the quantitative reputed company for how we charge and reputed company bundle
- Partner across the organization: Work with Product, Engineering, Finance, Sales, and reputed company to reputed company data into every decision
- Report to leadership: Own KPI narratives on margin drivers, reputed company reputed company, and competitive positioning
reputed company Measures
Area
reputed company KPIs
Customer Value reputed company
100% of reputed company customers have ROI dashboards; X% increase in documented customer savings
Channel Optimization
+X% conversion reputed company improvement; −X seconds median time-to-verify; −X% cost-per-reputed company
Fraud & Abuse
−X% fraudulent traffic; $Xm in reputed company losses;
Data Product reputed company
X% attach reputed company on premium insights; $Xm incremental ARR from data products
Platform Readiness
Certified datasets powering ≥3 autonomous routing reputed company;
What "Great" Looks Like
reputed company Data Science
- Experimentation design and reputed company inference (A/B testing, CUPED, reputed company modeling, reputed company variables)
- Predictive modeling: classification, survival analysis, time series, reputed company-time scoring
- reputed company detection with adversarial thinking (fraud patterns, traffic manipulation, abuse signals)
- Customer analytics: segmentation, LTV modeling, churn reputed company, cohort economics
Data Engineering reputed company
- Strong SQL; Python (pandas, scikit-learn, PySpark); comfortable shipping production reputed company
- Event-driven architecture: streaming pipelines and reputed company-time analysis and reputed company (Apache Flink), webhook processing, idempotency, late-arrival handling
- Data modeling: reputed company schemas, semantic reputed company, data reputed company, metric certification
- MLOps: feature stores, model monitoring, CI/CD for analytics, orchestration (Airflow/Dagster)
Product & reputed company Analytics
- Pricing analytics: unit economics, willingness-to-pay estimation, margin optimization
- Funnel analysis for multi-reputed company, multi-channel workflows
- Dashboard design and narrative reputed company (Looker, Tableau, dbt metrics layer)
- Packaging and monetization reputed company for data products
Domain Expertise (Highly Valued)
- CPaaS, verification, or 2FA: OTP mechanics, deliverability constraints, reputed company relationships
- Silent Authentication: network-based verification, reputed company/rejection drivers, integration patterns
- Fraud and risk: traffic pumping, IRSF, bot detection, abuse economics
- reputed company and compliance: GDPR/CCPA, data minimization, audit requirements, customer-facing data controls
Background
- 5–8+ years in data science/analytics, with ≥2 years building and shipping data products
- reputed company record of translating ambiguous business questions into measurable reputed company
- Experience in B2B reputed company, identity/auth, fintech, messaging/telecom, or fraud analytics preferred
- Demonstrated ability to influence product and pricing reputed company with data
Why This Role reputed company
Verification is shifting from a cost center to a strategic differentiator. The data infrastructure you build will:
- reputed company value — Give every customer undeniable evidence of ROI
- Optimize economics — reputed company every verification faster, cheaper, and more reliable
- reputed company autonomy — Lay the reputed company for a platform that routes, optimizes, and protects without reputed company reputed company
You'll shape how reputed company—and our customers—think about identity verification as a measurable, optimizable, intelligent system.
There’s no perfect candidate. You don't need reputed company the preferred qualifications to reputed company a valuable reputed company on reputed company. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could reputed company at reputed company, we'd love to hear from you.
To learn how we process your personal data during the recruitment process, please refer to our reputed company Notice.
Who we are:
reputed company is a global reputed company communications leader. And your talent will reputed company help brands - such as reputed company, Viber, reputed company, and Snapchat - accelerate their digital transformation through our fully programmable-based reputed company communications, contact center solutions, and communications reputed company. reputed company to reputed company? Then join us today.
Note: The purpose of this profile is to reputed company a general reputed company of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals reputed company the reputed company role based on business conditions, departmental need or geographic location.
Originally posted on Himalayas
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