AI Data Analyst – Merchant Acquisition

Paynada

. Develop the overall research, data and AI strategy for a proprietary merchant lead-intelligence platform .

Posted 9/30/2026full-timeRemote • United StatesMid-LevelSenior💰 $70,000 - $80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing data-driven strategies for merchant lead intelligence, utilizing advanced statistical and machine learning techniques. Proficient in analyzing sales conversations and integrating insights into commercial platforms while ensuring data governance and confidentiality.

Highest-signal resume keywords

Data Science ExpertisePredictive ModelingPython ProgrammingNatural-Language ProcessingMachine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingPropensity ModelingLead ScoringCustomer AnalyticsStatistical AnalysisExperimental DesignData ValidationInformation ExtractionQuantitative AnalysisData Governance

Soft Skills

Strong Product JudgmentEffective CommunicationIndependent WorkPrioritizationConfidentiality Standards

Tools & Technologies

PythonSQLSpeech-to-Text SystemsLarge Language ModelsCRM Systems

Industry Keywords

Merchant AcquiringFintechB2B SalesPaymentsFinancial Services

Tech Stack

Tools & technologies

PythonSQLSwitching

About the role

Key responsibilities & impact

Develop the overall research, data and AI strategy for a proprietary merchant lead-intelligence platform
Analyze recorded sales conversations using transcription, natural-language processing, large language models and human-reviewed qualitative research
Create a structured framework for extracting relevant information from sales calls
Interview sales representatives and company leadership to capture domain knowledge
Design labeling and quality-control procedures for call transcripts and sales outcomes
Identify signals that predict sales progression, including statement submissions, follow-up meetings, proposals and signed merchant accounts
Develop an initial transparent, rules-based scoring model
Progressively develop statistical and machine-learning models as prospective data becomes available
Identify and evaluate external data sources revealing relevant merchant characteristics
Connect internal conversation insights to externally observable business signals
Design controlled sales experiments comparing AI-selected leads with existing lead-selection processes
Establish performance metrics including conversion lift, precision among top-ranked leads, customer-acquisition cost and expected merchant profitability
Integrate lead recommendations into the existing sales workflow
Build or manage development of an initial prototype and production platform
Develop documentation, data-governance practices and safeguards for sensitive information
Help evaluate and recruit additional data, engineering or research talent
Communicate findings and recommendations to business leadership and nontechnical sales personnel
Audit current sales-call recordings, CRM information and business outcomes
Develop a taxonomy for merchant needs, switching triggers, objections and sales progression
Build and validate an AI-assisted process for transcribing, reviewing and structuring sales conversations
Produce an initial rules-based lead-scoring system
Recommend external data sources and design a prospective experiment
Deliver a working prototype and roadmap for a defensible production platform

Requirements

What you’ll need

Advanced training or equivalent professional experience in data science, applied statistics, machine learning, computer science, econometrics, quantitative marketing or a closely related field
Demonstrated experience with predictive modeling, propensity modeling, lead scoring, customer analytics or another classification/ranking problem
Strong Python and SQL capabilities
Experience working with unstructured text, call transcripts, conversation analytics or natural-language processing
Familiarity with large language models and their use in structured information extraction, classification and research workflows
Ability to work effectively with limited historical data and develop a disciplined data-collection and validation plan
Understanding of experimental design, prospective validation, model evaluation, data leakage, overfitting and selection bias
Ability to combine qualitative business research with quantitative analysis
Strong product judgment and interest in building a commercial platform
Ability to work independently, define priorities and communicate directly with company leadership
High standards for confidentiality, security and responsible handling of recorded conversations and merchant information
Preferred: Experience in merchant acquiring, credit-card processing, payments, fintech, banking or financial services
Preferred: Experience analyzing B2B sales calls or developing sales-intelligence, revenue-operations or customer-acquisition systems
Preferred: Familiarity with merchant categories, processing statements, pricing structures, interchange, chargebacks, point-of-sale systems and reasons merchants change processors
Preferred: Experience with speech-to-text systems, embeddings, retrieval systems and LLM evaluation
Preferred: Experience combining internal company data with licensed or publicly available external business data
Preferred: Experience taking a data product from initial research through deployment and ongoing monitoring
Preferred: Previous startup, founding-team or entrepreneurial experience
Preferred: Experience managing technical contributors or outside development resources

Benefits

Comp & perks

Meaningful equity participation in the resulting platform
Full benefits package
Remote work
Substantial autonomy
Direct access to company decision-makers and sales personnel
Opportunity to develop the project into a broader commercial platform