{"id":1744008,"url":"https://alion.io/job/visa-senior-data-scientist-ai-solutions-engineering-client-services","title":"Senior Data Scientist, AI Solutions Engineering - Client Services","company":{"id":83,"name":"Visa","domain":"visa.com","url":"https://alion.io/company/visa","size_band":"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":118,"ghost_share":0,"stale_share":0.619,"repost_share":0.025,"time_to_fill_p50_days":26,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":133300,"max":213400,"currency":"USD","period":"year","gross":null,"usd_annual":213400},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Trino","optional":false},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-04T22:08:36Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Us\nVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.\nAt Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.\nJoin Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.\nJob Description\nOverview:\nThe Sr. Data/AI Solutions Engineer role will be responsible for driving data-driven decision making across the organization. They will collaborate with business stakeholders, understand their problems, and design data-based solutions for them by making data available from new sources, build robust data models, creates and optimizes data enrichment pipelines, and provides engineering support to specific projects. This is a technical role that acts as a force multiplier and other data users across Client Services.\nThis role requires hands-on expertise on Data Engineering and AI/ML solutions. The role requires hands-on experience with large-scale data sets, building scalable models, and applying machine learning and statistical techniques to solve business problems. The position involves collaborating with cross-functional teams, translating analytics output into actionable recommendations, and communicating complex concepts to diverse audiences.\nAll roles require AI fluency, including the ability to work with emerging technologies such as Generative AI/Agentic AI tools (e.g. Agentic Toolchain, frontier models) to support everyday work.\nKey Responsibilities:\nDeliver small to large-scale data engineering initiatives independently or as part of a cross-functional project team.\nDesign, develop, and maintain scalable data models, schema designs, semantic layers, and certified datasets for efficient storage, retrieval, reporting, and analytics.\nDevelop and implement advanced data science models, including deep learning, machine learning, recommendation systems, and generative models.\nCreate visualizations to communicate complex data and insights in a clear and effective manner.\nLead and provide direction to technical data science teams, ensuring high-quality and rigorous project outcomes.\nImplement data pipelines using modern data engineering frameworks and platforms such as Spark, Python, SQL, Airflow, dbt, cloud-native data services, and distributed processing technologies.\nWork with large-scale datasets using technologies such as Hadoop/Hive, Spark, Presto/Trino, Python, SQL, cloud data warehouses, and distributed query engines.\nCollaborate with cross-functional teams (product, engineering, marketing) to gather requirements and deliver scalable solutions.\nSupport modern cloud-based data platforms across AWS, Azure, or Google Cloud Platform, including cloud data storage, compute, orchestration, monitoring, and security patterns.\nTranslate analytics output into actionable business recommendations and communicate results to senior business audiences.\nManage end-to-end data science projects, including planning, organizing, and delivering results with diverse teams.\nWork with real-world, large-scale data sets to build and deploy scalable models.\nUtilize modern distributed systems and data science tools (e.g., Hadoop, Hive/SQL, Apache Spark, TensorFlow, PyTorch, scikit-learn).\nEnsure reproducibility and quality in analytic pipelines and project deliverables.\nVisa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.\nQualifications\nBasic Qualifications:\n5+ years of relevant work experience with a bachelor’s degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.\nPreferred Qualifications:\nExperience in developing advanced data science models and applying machine learning techniques to business problems.\nExperience in managing data science projects from scoping to delivery.\nExperience in extracting and aggregating data from large data sets using SQL or other tools.\nExperience in creating reproducible analytic pipelines.\nExperience in data visualization using Tableau, Power BI, or R/Python.\nExperience in working with modern distributed systems, including Hadoop, Hive/SQL, and Apache Spark.\nExperience in collaborating with cross-functional teams to deliver scalable solutions.\nExperience in communicating complex technical concepts to business audiences.\nExperience in leading project teams and providing technical direction.\nExtensive experience working in the data science, data engineering, or analytics profession.\nHands-on experience working with extremely large data sets and building scalable models.\nExpertise in multiple programming languages (e.g., Python, R, Spark).\nExperience working in global organizations and collaborating with stakeholders across geographies.\nPrevious exposure to financial services or payments industry is a plus but not mandatory.\n\nInformation for US Applicants\nFor roles located in the US, the estimated salary range for this position is $133,300.00 to $ 213,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.Work Hours\nVaries upon the needs of the department.\nTravel Requirements\nThis position requires travel 5-10% of the time.\nMental/Physical Requirements\nThis position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.\nVisa is an EEO Employer\nQualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.","description_format":"text","description_chars":6561,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-03T04:46:18Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 351 · green card filings: 33","filings_12m":351,"filings_prev_12m":468,"green_card_filings_12m":33,"median_offered_wage_usd":151211,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+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":58}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":26,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":213400,"is_top_pay":true},"html_url":"https://alion.io/job/visa-senior-data-scientist-ai-solutions-engineering-client-services","json_url":"https://alion.io/job/visa-senior-data-scientist-ai-solutions-engineering-client-services.json","meta":{"generated_at":"2026-10-05T00:18:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":277,"day_limit":5000,"remaining_today":4723,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}