{"id":4201830,"url":"https://alion.io/job/green-dot-lead-data-scientist","title":"Lead Data Scientist","company":{"id":1752890,"name":"Green Dot","domain":"greendot.com","url":"https://alion.io/company/greendot-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120700,"max":180900,"currency":"USD","period":"year","gross":null,"usd_annual":180900},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-12T22:33:01Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T22:33:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips.\nThis position is classified as structured hybrid, with an expectation of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.\n\nJOB DESCRIPTION\nLocation Requirement\nThis position is open only to candidates who currently reside in one of the following approved locations:\nLos Angeles, CA (West LA)\nJob Summary\nThe Fraud Data Scientist (P4) is responsible for leveraging data analytics, statistical modeling, and fraud detection techniques to identify suspicious activity, uncover fraud trends, and support fraud loss prevention efforts. This role partners with Fraud Strategy, Fraud Operations, Product, Technology, and Operations teams - including Customer Experience & Service (CES), BSA/AML Operations, and Disputes - to develop actionable insights, optimize customer experience outcomes, and improve fraud detection capabilities. The position applies established analytical methodologies to solve complex business problems and contributes to the design, testing, and optimization of fraud rules, models, and monitoring strategies.\nYou might be the right match for this role if:\nYou enjoy using data to solve business problems and identify opportunities to improve fraud prevention and detection efforts.\nYou are comfortable working with large datasets and applying analytical techniques to generate actionable business insights.\nYou can independently manage work assignments while collaborating effectively with cross-functional partners, including Operations, CES, and BSA/AML teams.\nYou possess strong technical and analytical capabilities and can clearly communicate findings to both technical and non-technical audiences.\nYou have a continuous improvement mindset and seek opportunities to enhance fraud detection capabilities, reporting, and operational effectiveness - including reducing customer-impacting friction.\nKey Responsibilities\nAnalyzing data to identify fraud patterns, suspicious activity, and emerging fraud trends, and communicating findings to business stakeholders.\nSupporting the development, testing, implementation, and ongoing optimization of fraud rules and detection strategies designed to mitigate fraud risk and losses.\nPerforming exploratory data analysis using structured and unstructured data sources to support fraud investigations and detection initiatives.\nDeveloping analytical models, scorecards, and reporting solutions that improve visibility into fraud performance and operational effectiveness.\nWriting and maintaining SQL, Python, SAS, or similar code to extract, transform, and analyze large datasets from multiple sources.\nCollaborating closely with Fraud Strategy, Product, Engineering, and Operations teams - including Customer Experience & Service (CES), BSA/AML Operations, and Dispute Operations - to align fraud analytics initiatives with operational workflows and deliver improvements to the end-to-end customer experience.\nPartnering with CES and Operations to translate customer friction signals, dispute trends, and operational case data into actionable rule tuning and strategy enhancements that reduce unnecessary declines and streamline customer resolution pathways.\nCoordinating with BSA/AML Operations to ensure fraud signals and SAR-adjacent trends are surfaced appropriately, supporting compliant and consistent cross-functional response to emerging threats.\nCreating dashboards, visualizations, and reports that communicate key fraud trends, performance metrics, and insights to business leaders.\nParticipating in model monitoring, validation, and performance analysis to ensure fraud detection strategies remain effective over time.\nSupporting projects and analytical initiatives under the guidance of senior team members while demonstrating increasing independence in problem solving and solution development.\nRequired Qualifications\nBachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a related field.\n5-8 years of experience in data science, analytics, fraud analytics, risk analytics, or a related field.\nExperience working with analytical tools and programming languages such as SQL, Python, SAS, or similar technologies.\nExperience performing statistical analysis, data mining, segmentation, trend analysis, and model evaluation.\nAbility to work with large and complex datasets and derive actionable business insights.\nStrong communication and presentation skills.\nPreferred Qualifications\nExperience in fraud prevention, fraud strategy, fraud operations, payments, fintech, banking, or financial services.\nExperience supporting fraud rule platforms, fraud models, or fraud strategy initiatives.\nExperience with Falcon, PRM, VRM, SecurLOCK, Mastercard Connect, SageMaker, SAS, or similar fraud and analytics platforms.\nExperience with data visualization tools such as Tableau, Power BI, or similar business intelligence platforms.\nFamiliarity with dispute operations, BSA/AML compliance workflows, or customer operations environments.\n**Ability to work in the U.S. without sponsorship**\n**Ability to meet the location requirement outlined above**\nPOSITION TYPE\nRegularPAY RANGE\nThe targeted base salary for this position is $120,700 to $180,900 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate’s geographical location.\nWe’re Here to Support You-Accommodations Upon Request\nGreen Dot is committed to providing an inclusive and accessible hiring experience for all candidates. If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know. We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity. Our goal is to support every applicant in showcasing their talents and potential.\nWork Authorization Requirement\nAt Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.\nImportant Notice on Application Accuracy\nWe value integrity in our hiring process. Please ensure that all information provided in your resume and application is accurate and authentic. Submissions found to be fraudulent or misleading will result in disqualification from consideration, and any offers extended may be rescinded.","description_format":"text","description_chars":6797,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-11-12T22:33:01Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 13 · green card filings: 10","filings_12m":13,"filings_prev_12m":16,"green_card_filings_12m":10,"median_offered_wage_usd":136413,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":4}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":47,"reasons":["conf:1","win:early"],"computed_at":"2026-11-12T23:51:00Z"},"pay":{"stated_usd_annual":180900,"is_top_pay":false},"html_url":"https://alion.io/job/green-dot-lead-data-scientist","json_url":"https://alion.io/job/green-dot-lead-data-scientist.json","meta":{"generated_at":"2026-11-12T23:51:00Z","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":50376,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"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":1752890},"rest":"https://alion.io/mcp/rest/get_company?id=1752890"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgreen-dot-lead-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fgreen-dot-lead-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%2Fgreen-dot-lead-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/green-dot-lead-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgreen-dot-lead-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4201830}},{"tool":"search_jobs","arguments":{"company":"greendot.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4201830},"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. Docs: https://alion.io/developers"}}