{"id":1041465,"url":"https://alion.io/job/sportradar-senior-data-scientist","title":"Senior Data Scientist","company":{"id":761,"name":"Sportradar","domain":"sportradar.com","url":"https://alion.io/company/sportradar-media-services-gmbh","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-28T05:59:10Z"}},"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":"structured","locations":["Vienna, Austria"],"countries":["AT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":95000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Confluence","optional":false},{"name":"GitLab","optional":false},{"name":"Java","optional":false},{"name":"Jira","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-09-18T08:49:52Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-28T12:20:25Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":40},"description":"We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.\n Reporting to the Head of Quants you will be working closely with your colleagues in Quants but also various product owners, developers and traders company wide. Our department is responsible for creating predictive models for both pre-match and in-play betting markets in various sports. This typically requires cleaning up, visualizing, analyzing and interpreting relevant data, as well as implementing the created models in Java and testing them. Publishing and maintaining these Java libraries is also one of our responsibilities. Furthermore, we are providing various data analysis or generally math related tasks on demand.\nTHE CHALLENGE\nLearn how predictive models look like in a betting context and build models on your own\nSupport the team in maintaining the codebase\nAnalyze/evaluate/optimize existing predictive models as model co-owner\nResearch new methods for future applications\nYOUR PROFILE\nRequired:\nMaster’s degree or equivalent/higher qualification in one of the following disciplines: Data Science, Statistics, Mathematics, Software Engineering or a closely related field\nExperienced in predictive modelling, with a deep understanding of data analysis and modelling techniques such as GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, etc.\nVery strong skills in R or python\nAdvanced coding and analytical skills\nStrong communication skills, fluency in English\nCreative thinking, keen to further refine systems and processes\nHighly self-motivated, leading by example and enthusiasm\nBeing a team player, with the ability to work with new teams immediately\nStrong interpersonal skills\nPreferred:\nExperience in object-oriented programming, preferably Java\nExperience with Gitlab, Jira & Confluence\nExperience with SQL\nOUR OFFER\nA collaborative environment with colleagues from all over the world (Offices in Europe, Asia, North & South America). \nImpactful Work: Contribute to the development of groundbreaking products that influence industries globally.\nAbility to shape your own workday and career via a clearly defined professional and personal development plan. \nWe are a diverse and collaborative global team with a unique spirit, determined to achieve our goals with integrity and focus.\nOpportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment. \nFlexible working model. \nWhile we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation-both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are generally an office-first business operating on a hybrid model, with team members working in the office four days a week to build relationships, exchange ideas, and grow together. \nThe minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience.\nAt Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) - we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!","description_format":"text","description_chars":4074,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sports","Sports Betting","Sports Analytics","iGaming & Gambling"],"lifecycle":[{"event":"open","at":"2026-09-18T19:29:54Z"}],"visa":[],"liveness":{"score":41,"band":"fade","label":"Fading","p_open":1,"p_active":0.752,"p_room":0.55,"age_days":39,"expected_fill_days":28,"reasons":["conf:3","velocity","win:tail"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/sportradar-senior-data-scientist","json_url":"https://alion.io/job/sportradar-senior-data-scientist.json","meta":{"generated_at":"2026-10-28T13:20:15Z","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":17950,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":761},"rest":"https://alion.io/mcp/rest/get_company?id=761"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsportradar-senior-data-scientist"},{"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%2Fsportradar-senior-data-scientist"},{"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%2Fsportradar-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/sportradar-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsportradar-senior-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1041465}},{"tool":"search_jobs","arguments":{"company":"sportradar.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1041465},"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"}}