{"id":3709461,"url":"https://alion.io/job/paynada-ai-data-analyst-merchant-acquisition-2","title":"AI Data Analyst - Merchant Acquisition","company":{"id":4458812,"name":"Paynada","domain":"youpaynada.com","url":"https://alion.io/company/paynada","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Embeddings","optional":true},{"name":"LLM","optional":true}],"status":"closed","first_seen_at":"2026-10-28T21:06:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-05T22:26:51Z","board_verified":false,"closed_at":"2026-11-05T22:26:51Z","days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"About Us\nWe are an established Independent Sales Organization with seven years of experience in the credit-card-processing and merchant-services industry. We understand how merchants evaluate processors, why they consider switching, the objections they raise and the factors that ultimately drive conversion.\nWe are building a proprietary, AI-driven lead-intelligence platform to identify and prioritize merchants most likely to become customers. Our goal is to combine our industry knowledge, current sales-call recordings, operational information and external business data into a system that makes prospecting more scientific, targeted and measurable.\nWe are seeking an entrepreneurial data-science leader to design and lead this initiative from research and prototype development through prospective testing and commercialization.\nThe Opportunity\nThis is not a conventional data-science position in which a completed dataset and predefined model are handed to you. 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.\nBecause our historical labeled data is limited, the initial work will include analyzing current sales-call recordings, interviewing members of our sales organization and identifying the characteristics, circumstances and behaviors associated with merchants who are receptive to switching processors.\nThe successful candidate will build an initial lead-scoring methodology, test it against real-world sales results and continuously improve it as new outcome data is generated.\nThis is a founding-level opportunity with salary and equity participation in the resulting platform. The right candidate will have substantial autonomy and the opportunity to create a potentially valuable commercial product within an established operating business.\nResponsibilities\nDevelop the overall research, data and AI strategy for a proprietary merchant lead-intelligence platform.\nAnalyze recorded sales conversations using transcription, natural-language processing, large language models and human-reviewed qualitative research.\nCreate a structured framework for extracting relevant information from calls, including merchant characteristics, processing concerns, switching triggers, objections, urgency, decision-maker engagement and sales outcomes.\nInterview sales representatives and company leadership to capture domain knowledge that may not appear in existing structured data.\nDesign reliable labeling and quality-control procedures for call transcripts and sales outcomes.\nIdentify the signals most likely to predict meaningful sales progression, including statement submissions, follow-up meetings, proposals and signed merchant accounts.\nDevelop an initial transparent, rules-based scoring model suitable for use while labeled data remains limited.\nProgressively develop statistical and machine-learning models as sufficient prospective data becomes available.\nIdentify and evaluate external data sources that could reveal merchant size, growth, industry, number of locations, technology, ownership changes, hiring activity and other relevant characteristics.\nConnect internal conversation insights to externally observable business signals that can be used to identify new prospects.\nDesign controlled sales experiments comparing AI-selected leads with leads selected through our existing process.\nEstablish appropriate performance metrics, including conversion lift, precision among top-ranked leads, customer-acquisition cost and expected merchant profitability.\nWork with sales leadership to integrate lead recommendations into the company’s existing workflow.\nBuild or manage the development of an initial working prototype and subsequent production platform.\nDevelop appropriate documentation, data-governance practices and safeguards for sensitive sales and merchant information.\nHelp evaluate and recruit additional data, engineering or research talent as the project grows.\nCommunicate findings and recommendations clearly to business leadership and nontechnical sales personnel.\nRequired Qualifications\nAdvanced training or equivalent professional experience in data science, applied statistics, machine learning, computer science, econometrics, quantitative marketing or a closely related field.\nDemonstrated experience with predictive modeling, propensity modeling, lead scoring, customer analytics or another classification/ranking problem.\nStrong Python and SQL capabilities.\nExperience working with unstructured text, call transcripts, conversation analytics or natural-language processing.\nFamiliarity with large language models and their use in structured information extraction, classification and research workflows.\nAbility to work effectively with limited historical data and develop a disciplined data-collection and validation plan.\nUnderstanding of experimental design, prospective validation, model evaluation and common problems such as data leakage, overfitting and selection bias.\nAbility to combine qualitative business research with quantitative analysis.\nStrong product judgment and an interest in building a commercial platform, not merely producing an academic model or research report.\nAbility to work independently, define priorities and communicate directly with company leadership.\nHigh standards for confidentiality, security and responsible handling of recorded conversations and merchant information.\nPreferred Qualifications\nExperience in merchant acquiring, credit-card processing, payments, fintech, banking or financial services.\nExperience analyzing B2B sales calls or developing sales-intelligence, revenue-operations or customer-acquisition systems.\nFamiliarity with merchant categories, processing statements, pricing structures, interchange, chargebacks, point-of-sale systems and the reasons merchants change processors.\nExperience with speech-to-text systems, embeddings, retrieval systems and LLM evaluation.\nExperience combining internal company data with licensed or publicly available external business data.\nExperience taking a data product from initial research through deployment and ongoing monitoring.\nPrevious startup, founding-team or entrepreneurial experience.\nExperience managing technical contributors or outside development resources.\nInitial Objectives\nDuring the first several months, the successful candidate will be expected to:\nAudit the information currently available, including sales-call recordings, CRM information and business outcomes.\nInterview company leadership and high-performing sales representatives.\nDevelop a taxonomy for merchant needs, dissatisfaction, switching triggers, objections and levels of sales progression.\nBuild and validate an AI-assisted process for transcribing, reviewing and structuring sales conversations.\nProduce an initial rules-based lead-scoring system based on qualitative and quantitative evidence.\nRecommend external data sources and determine which observable merchant characteristics can support prospect identification.\nDesign a prospective experiment comparing prioritized leads with the company’s current lead-selection process.\nDeliver a working prototype and a roadmap for developing a defensible production platform.\nWhat Success Looks Like\nSuccess will not be measured by producing an impressive demonstration or using the newest AI technology. It will be measured by whether the system consistently helps our sales organization:\nReach more qualified decision-makers.\nIdentify merchants with genuine reasons to reconsider their current processor.\nObtain more processing statements and substantive follow-up meetings.\nGenerate more proposals from the same amount of sales activity.\nImprove close rates and merchant profitability.\nExplain why particular leads are being prioritized.\nLearn and improve as additional sales outcomes are generated.\nWhy Join Us\nJoin an established ISO with seven years of merchant-services experience and real industry knowledge.\nLead a strategically important initiative with direct access to company decision-makers and sales personnel.\nBuild a proprietary AI and data product around an identifiable commercial need.\nReceive a competitive salary together with meaningful equity participation.\nWork remotely with substantial autonomy.\nHave the opportunity to develop the project into a broader commercial platform.\nSalary\nCandidates 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 full benefits package as well.","description_format":"text","description_chars":8593,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Sales & Marketing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-11-03T22:19:10Z"},{"event":"close","at":"2026-11-05T22:26:51Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/paynada-ai-data-analyst-merchant-acquisition-2","json_url":"https://alion.io/job/paynada-ai-data-analyst-merchant-acquisition-2.json","meta":{"generated_at":"2026-11-11T14:56:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27686,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4458812},"rest":"https://alion.io/mcp/rest/get_company?id=4458812"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpaynada-ai-data-analyst-merchant-acquisition-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpaynada-ai-data-analyst-merchant-acquisition-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpaynada-ai-data-analyst-merchant-acquisition-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/paynada-ai-data-analyst-merchant-acquisition-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpaynada-ai-data-analyst-merchant-acquisition-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3709461}},{"tool":"search_jobs","arguments":{"company":"youpaynada.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3709461},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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