{"id":3993422,"url":"https://alion.io/job/early-warning-services-data-scientist-ii","title":"Data Scientist II","company":{"id":46312,"name":"Early Warning Services","domain":"earlywarning.com","url":"https://alion.io/company/earlywarning","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":11,"ghost_share":0,"stale_share":0.636,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Chicago, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":101000,"max":152000,"currency":"USD","period":"year","gross":null,"usd_annual":152000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-09T00:00:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T00:22:00Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze®, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.\nEarly Warning follows a hybrid work model to allow for a more collaborative working environment.\nCandidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.\nOverall Purpose\nThis position serves as a data science team member in the company delivering leading edge machine learning and artificial intelligence concepts from start to finish in collaboration with senior technical and business leaders. This includes understanding the business problem/need, exploring and aggregating data, building and validating algorithms, and deploying completed models to deliver business results.\nEssential Functions\nExplore and aggregate data independently to uncover data anomalies that impact algorithm performance\nEnd to end feature engineering - brainstorm, create, validate, down-select, etc.\nWrite production level code in a dynamic, start-up environment\nSolve complex problems using terabyte size data sets\nApply of a variety of machine learning techniques to a business problem to arrive at optimal approach\nPartner with Product and Engineering teams to solve problems and identify trends and opportunities\nExplain and visualize results and algorithm performance to non-technical audiences\nSupport the company's commitment to protect the integrity and confidentiality of systems and data.\nSupport the company's commitment to protect the integrity and confidentiality of systems and data.\nMinimum Qualifications\nBachelor’s Degree in Mathematics, Statistics, Computer Science, Operational Research or related field;\nA minimum of 4 years data science, engineering, mathematics, or related work experience is required.\nExperience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets\nExperience applying various machine learning techniques, and understanding the key parameters that affect their performance\nExperience using ML libraries, such as scikit-learn, mllib, etc.\nExperience using data visualization tools\nAble to write production level code, which is well-written and explainable\nInterest to do lots and lots of proof of concepts/rapid prototyping\nAbility to effectively communicate findings from complex analyses to non-technical audiences.\nBackground and drug screen\nPreferred Qualifications\nRelevant experience in one or more of the following areas is \nExperience in fraud analytics, particularly developing or validating fraud models at a bank or other financial institution.\nExperience developing or validating banking risk models, including models used in Comprehensive Capital Analysis and Review (CCAR) stress testing or Current Expected Credit Losses (CECL) estimation.\nFamiliarity with model risk management practices, including development documentation, validation review, performance monitoring, and communicating model assumptions and limitations.\nExperience with transaction or payment data, fraud patterns, and model evaluation for rare events, including tradeoffs between fraud detection and false positives.\nPySpark experience and familiarity with scalable feature engineering and reproducible data science pipelines.\nKnowledge of advanced machine learning algorithms and experience selecting methods appropriate to the business problem and data.\nA track record of managing ambiguity, prioritizing work, and delivering proofs of concept or model development milestones, with timely communication of risks and dependencies.\nExperience automating data science workflows or adopting shared modeling and feature engineering platforms.\nPhD/MSc in Mathematics, Statistics, Computer Science, Operational Research or a related field.\n Physical Requirements\nWorking conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.\nEmployee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.\nThe above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.\nEarly Warning Services is an equal opportunity employer.\nChicago, IL in USD per year is: $101,000 - $152,000.\nNew York, NY/ San Francisco, CA in USD per year is: $122,000 - $162,000.\nAdditionally, candidates are eligible for a discretionary incentive plan and benefits.\nSome of the Ways We Prioritize Your Health and Happiness\nHealthcare Coverage - Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.\n\n401(k) Retirement Plan - Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.\n\nPaid Time Off - Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.\n\n12 weeks of Paid Parental Leave\n\nMaven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.\n\nAnd SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\nEarly Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.","description_format":"text","description_chars":7343,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Hybrid work","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Illinois","iso":null,"kind":"city"},{"name":"New York","iso":null,"kind":"city"},{"name":"California","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Payment Processing & Gateways","RegTech, AML & Compliance"],"lifecycle":[{"event":"open","at":"2026-11-10T00:22:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 27 · green card filings: 21","filings_12m":27,"filings_prev_12m":57,"green_card_filings_12m":21,"median_offered_wage_usd":148125,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+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":2}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":32,"reasons":["conf:2","win:early"],"computed_at":"2026-11-10T02:28:58Z"},"pay":{"stated_usd_annual":152000,"is_top_pay":true},"html_url":"https://alion.io/job/early-warning-services-data-scientist-ii","json_url":"https://alion.io/job/early-warning-services-data-scientist-ii.json","meta":{"generated_at":"2026-11-10T02:28:58Z","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":5798,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"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":46312},"rest":"https://alion.io/mcp/rest/get_company?id=46312"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fearly-warning-services-data-scientist-ii"},{"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%2Fearly-warning-services-data-scientist-ii"},{"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%2Fearly-warning-services-data-scientist-ii"},{"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/early-warning-services-data-scientist-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fearly-warning-services-data-scientist-ii"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3993422}},{"tool":"search_jobs","arguments":{"company":"earlywarning.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3993422},"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"}}