{"id":3020585,"url":"https://alion.io/job/experian-senior-data-scientist-4","title":"Senior Data Scientist","company":{"id":3558,"name":"Experian","domain":"experian.com","url":"https://alion.io/company/experian","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":76,"open_postings":23,"ghost_share":0,"stale_share":0.957,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":81000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-21T16:18:47Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-27T17:42:27Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.\n The Senior Data Scientist will support the ongoing maintenance, monitoring, and improvement of production analytics and machine learning solutions offered to the clients in North America. You will ensure that models and data processes remain accurate, reliable, compliant, and aligned with business and client requirements. It focuses on operational performance, issue resolution, and continuous improvement of existing solutions.\nYou will report to Director of Data Science and Gen AI.\nWhat you'll do:\nAnalyze, process, and document large datasets; select appropriate analytical, machine learning, and data mining techniques to identify useful insights.\nDevelop and maintain data structures, storage schemes, processing tools, and analytical pipelines.\nMonitor model performance and stability across use cases; conduct validation, back-testing, and performance reporting.\nInvestigate data and model issues, identify root causes, and implement corrective actions or model updates.\nMaintain documentation, version control, audit trails, and data quality practices in support of governance and compliance requirements.\nAssess model outputs, conduct ROI and benefit analyses, and present findings on model performance and analytical processes, develop best practices and business assumptions that support reliable solutions and consistent model performance.\n What we're looking for:\nStrong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.\nUnderstanding how and when to apply key analytical approaches including regression analysis, machine learning, AI, deep learning and other advanced modeling approaches to extract and automate insights from data\nStrong grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, Bayesian shrinkage, in-sample vs out-of-sample. Fluency with statistical significance tests and Monte Carlo simulation.\nAbility to write near-production-level code in at least one general purpose programming language (e.g. Python, C++).\nUnderstanding of modern technologies in processing of large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data.\n What you'll get:\nPersonal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.\nWork environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.\nSocial benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!\nWork-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.\nOpportunity for Flexible working hours and Home Office.\nExperian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.\nOur uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.\nRecruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.\nExperian Careers - Creating a better tomorrow together\nFind out what its like to work for Experian by clicking here","description_format":"text","description_chars":4956,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Health insurance","Home office","Life insurance"],"hiring_locations":[{"name":"Bulgaria","iso":"BG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Credit Bureaus & Rating Agencies"],"lifecycle":[{"event":"open","at":"2026-10-21T17:43:30Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":5,"expected_fill_days":26,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/experian-senior-data-scientist-4","json_url":"https://alion.io/job/experian-senior-data-scientist-4.json","meta":{"generated_at":"2026-10-27T20:00:44Z","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":10907,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":3558},"rest":"https://alion.io/mcp/rest/get_company?id=3558"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexperian-senior-data-scientist-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fexperian-senior-data-scientist-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fexperian-senior-data-scientist-4"},{"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/experian-senior-data-scientist-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexperian-senior-data-scientist-4"}]}