{"id":884648,"url":"https://alion.io/job/kardfinancial-senior-data-scientist","title":"Senior Data Scientist","company":{"id":679460,"name":"Kard","domain":"kardfinancial.com","url":"https://alion.io/company/kardfinancial","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":160000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Feature Store","optional":false},{"name":"Machine Learning","optional":false},{"name":"Recommender Systems","optional":false},{"name":"AWS","optional":true},{"name":"dbt","optional":true},{"name":"GCP","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-04-21T00:33:10Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-11-08T21:26:35Z","board_verified":true,"closed_at":null,"days_open":201,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":201},"description":"Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. As our reach expands, we are building for a step-change in scale, and for opportunities ranging from more relevant rewards and marketer intelligence to new commerce and distribution models.\nAbout the Role\nAs a Senior Data Scientist at Kard, you will build and deploy machine learning and experimentation systems that power our card-linked offers platform. Your work will directly improve how users discover and engage with offers, and how partners measure ROI. You’ll operate across personalization, ranking, and causal measurement - partnering closely with Product, Engineering, and Sales to turn behavioral transaction data into production-grade models and insights.\nResponsibilities\nBuild and ship ML models that drive offer personalization, ranking, and targeting using transaction, merchant, and user behavioral data.\nDevelop features and training pipelines on top of large-scale event and transaction datasets (e.g., spend patterns, visit frequency, merchant affinity).\nDesign and analyze A/B tests and incrementality experiments to measure campaign and model impact.\nApply causal inference methods (e.g., matching, uplift modeling, diff-in-diff) to quantify partner ROI and user behavior changes.\nPartner with ML and Data Engineers to productionize models, including feature stores, batch/real-time scoring, and monitoring.\nImprove and iterate on ranking/recommendation systems to optimize engagement, conversion, and retention.\nContribute to attribution and measurement systems that help brands understand incremental value from Kard campaigns.\nTranslate complex modeling outputs into clear, actionable insights for internal teams and external partners.\nOwn projects end-to-end: problem framing, data exploration, modeling, deployment, and post-launch evaluation.\nHelp define best practices for experimentation, model evaluation, and data quality across the team.\nDesired Skills\n6+ years of experience in data science, with meaningful experience in applied machine learning in production.\nStrong experience with recommendation systems, ranking models, or personalization (e.g., propensity models, collaborative filtering, embeddings).\nSolid grounding in statistics and experimentation, including A/B testing and incrementality measurement.\nExperience with causal inference approaches for real-world observational data.\nProficiency in Python (pandas, scikit-learn, PyTorch/XGBoost) and SQL; experience working with large-scale datasets.\nExperience working with event-driven or transaction-level data (fintech, ads, marketplaces, or similar domains preferred).\nFamiliarity with modern data/ML stacks (e.g., Spark, Airflow, dbt, feature stores, cloud platforms like AWS/GCP).\nExperience collaborating with engineers to deploy models into production systems (APIs, batch jobs, real-time scoring).\nAbility to connect modeling work to business outcomes like conversion, lift, retention, and ROI.\nStrong communication skills; able to explain tradeoffs and results to both technical and non-technical audiences.\nPragmatic, product-minded, and impact-driven.\nU.S. core business hours availability and willingness to travel for company meetings.\nRemote - USA Pay Range\n$160,000—$200,000 USD\nWhy Join:\nKard recognizes the unique value each of us brings to our collective success. As part of our remote-first team, you'll have the autonomy to influence our trajectory, actively contributing to the growth of our business and the evolution of our company culture. By embodying our core values of Initiative, Openness, and Humility, you will not only witness but directly foster an inclusive and dynamic work environment, from the executive level down.\nOur competitive benefit plan includes:\nFlexible PTO, with a minimum requirement to take one day off a quarter, ten days a year, promoting mental well-being\nObservance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve (US employees only)\nHealth, Dental and Vision Insurance\n401k with employer match (US employees only)\nCoworking space and WFH setup reimbursement\nCompany Offsites for planning, team-building, and networking\nKard is an equal opportunity employer and we actively encourage applicants of all genders, backgrounds, and experiences to apply. We believe that diverse perspectives enrich our workplace and drive our success.","description_format":"text","description_chars":4488,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Loyalty Programs","Financial Software & Embedded Finance"],"lifecycle":[{"event":"open","at":"2026-09-14T03:14:16Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":177500,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":2}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.216,"p_room":0.28,"age_days":201,"expected_fill_days":35,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/kardfinancial-senior-data-scientist","json_url":"https://alion.io/job/kardfinancial-senior-data-scientist.json","meta":{"generated_at":"2026-11-09T00:14:57Z","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":606,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"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":679460},"rest":"https://alion.io/mcp/rest/get_company?id=679460"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkardfinancial-senior-data-scientist"},{"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%2Fkardfinancial-senior-data-scientist"},{"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%2Fkardfinancial-senior-data-scientist"},{"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/kardfinancial-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkardfinancial-senior-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":884648}},{"tool":"search_jobs","arguments":{"company":"kardfinancial.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":884648},"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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