[Hiring] AI Data Analyst @d9cf2d59-980c-434c-821b-ab1dfe1b6f67

Role Description

We are seeking an entrepreneurial data-science leader to design and lead the initiative of building a proprietary, AI-driven lead-intelligence platform.

This is not a conventional data-science position; you will help determine what data matters, how it should be collected and labeled, and how qualitative sales intelligence can be transformed into quantitative predictions.

The successful candidate will:

• Build an initial lead-scoring methodology.
• Test it against real-world sales results.
• Continuously improve it as new outcome data is generated.

Responsibilities

• 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 calls, including:
  • Merchant characteristics
  • Processing concerns
  • Switching triggers
  • Objections
  • Urgency
  • Decision-maker engagement
  • Sales outcomes
• Interview sales representatives and company leadership to capture domain knowledge.
• Design reliable labeling and quality-control procedures for call transcripts and sales outcomes.
• Identify signals most likely to predict meaningful sales progression.
• Develop an initial transparent, rules-based scoring model.
• Progressively develop statistical and machine-learning models.
• Identify and evaluate external data sources.
• Connect internal conversation insights to externally observable business signals.
• Design controlled sales experiments comparing AI-selected leads with existing processes.
• Establish appropriate performance metrics.
• Work with sales leadership to integrate lead recommendations into existing workflows.
• Build or manage the development of an initial working prototype and subsequent production platform.
• Develop appropriate documentation, data-governance practices, and safeguards for sensitive information.
• Help evaluate and recruit additional talent as the project grows.
• Communicate findings and recommendations clearly to business leadership and nontechnical sales personnel.

Qualifications

• 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, and common problems such as data leakage, overfitting, and selection bias.
• Ability to combine qualitative business research with quantitative analysis.
• Strong product judgment and an 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 Qualifications

• Experience in merchant acquiring, credit-card processing, payments, fintech, banking, or financial services.
• Experience analyzing B2B sales calls or developing sales-intelligence, revenue-operations, or customer-acquisition systems.
• Familiarity with merchant categories, processing statements, pricing structures, interchange, chargebacks, point-of-sale systems, and reasons merchants change processors.
• Experience with speech-to-text systems, embeddings, retrieval systems, and LLM evaluation.
• Experience combining internal company data with licensed or publicly available external business data.
• Experience taking a data product from initial research through deployment and ongoing monitoring.
• Previous startup, founding-team, or entrepreneurial experience.
• Experience managing technical contributors or outside development resources.

Initial Objectives

• Audit the information currently available, including sales-call recordings, CRM information, and business outcomes.
• Interview company leadership and high-performing sales representatives.
• Develop a taxonomy for merchant needs, dissatisfaction, switching triggers, objections, and levels of sales progression.
• Build and validate an AI-assisted process for transcribing, reviewing, and structuring sales conversations.
• Produce an initial rules-based lead-scoring system based on qualitative and quantitative evidence.
• Recommend external data sources and determine observable merchant characteristics for prospect identification.
• Design a prospective experiment comparing prioritized leads with the current lead-selection process.
• Deliver a working prototype and a roadmap for developing a defensible production platform.

What Success Looks Like

• Help the sales organization reach more qualified decision-makers.
• Identify merchants with genuine reasons to reconsider their current processor.
• Obtain more processing statements and substantive follow-up meetings.
• Generate more proposals from the same amount of sales activity.
• Improve close rates and merchant profitability.
• Explain why particular leads are being prioritized.
• Learn and improve as additional sales outcomes are generated.

Why Join Us

• Join an established ISO with seven years of merchant-services experience.
• Lead a strategically important initiative with direct access to company decision-makers and sales personnel.
• Build a proprietary AI and data product around an identifiable commercial need.
• Receive a competitive salary together with meaningful equity participation.
• Work remotely with substantial autonomy.
• Have the opportunity to develop the project into a broader commercial platform.

Salary

Candidates will be paid a competitive salary based on experience. Expected pay range is $70-80,000 per year. This position is full-time and eligible for a full benefits package as well.