{"id":3467377,"url":"https://alion.io/job/eventellect-data-scientist","title":"Data Scientist","company":{"id":677372,"name":"Eventellect","domain":"eventellect.com","url":"https://alion.io/company/eventellect","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":211000,"period":"year","method":"role_country_seniority_unknown","sample_n":3718},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-29T15:43:16Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-03T01:37:30Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Who is Eventellect?\nEventellect partners with professional and collegiate sports teams, as well as promoters across live event entertainment, to grow total net ticket revenue through a unified single game strategy. We help partners fully access their revenue, data, and customers by managing ticket inventory in real time across multiple marketplaces and sales channels. Our proprietary technology and data-driven approach enable partners to price, distribute, and fulfill tickets more effectively while protecting long-term fan value and loyalty.\nWhat are we looking for?\nWe are looking for a detail-oriented, analytical, and technically curious individual to join Eventellect's Data Science team as a Data Scientist, Seat Quality.\nThe ideal candidate will combine strong analytical problem-solving skills with a technical foundation, a process-oriented mindset, and the ability to manage a steady flow of requests efficiently and accurately. This person will take ownership of building and maintaining data-driven models, investigating unexpected results, and using analytical judgment to ensure outputs are reliable and consistent with business expectations.\nWe are looking for someone who is comfortable working with large datasets, learning complex technical workflows, and thinking critically rather than simply following a prescribed process. Experience using programming and data analysis tools such as Python and SQL, along with an interest in further developing technical skills through scripting, debugging, and application development, will be valuable in this role. Strong attention to detail, sound judgment, and the ability to work independently are essential.\nWhat would you do?\nAs a Data Scientist on Eventellect's Seat Quality team, you will support the development, maintenance, and ongoing improvement of data-driven models and the technical tools that support them. You will work closely with Data Science leadership and cross-functional teams to fulfill modeling requests, troubleshoot data and modeling issues, and ensure outputs are accurate, reliable, and aligned with business needs.\nThe role will primarily focus on executing recurring modeling workflows and responding to ad-hoc requests, with opportunities to take on more advanced technical responsibilities, including model investigations, application development, and process improvements.\nKey responsibilities will include:\nBuild, retrain, and maintain data-driven models across professional sports, collegiate athletics, concerts, and other live events. \nManage a recurring queue of modeling requests, balancing accuracy, efficiency, and competing priorities to deliver reliable results on time. \nEvaluate and validate model outputs, using analytical judgment to identify unexpected patterns, inconsistencies, and potential modeling issues. \nInvestigate and troubleshoot data quality issues, inconsistencies in underlying inputs, and unexpected model behavior. \nExecute ad-hoc analytical and modeling requests, including model adjustments, data updates, and corrections to existing outputs. \nLeverage Python, SQL, and internal data tools to investigate discrepancies, manipulate datasets, and support modeling workflows. \nDevelop proficiency with Eventellect's internal applications, data infrastructure, and technical processes to independently execute and validate modeling work. \nCollaborate with internal stakeholders to understand requirements, resolve data issues, communicate blockers, and ensure outputs meet business needs. \nContribute to the maintenance and development of internal applications, including debugging, implementing enhancements, and improving existing functionality. \nIdentify opportunities to improve the efficiency, reliability, and scalability of modeling workflows through automation, technical improvements, and process optimization. \nRequirements\nWhat is required to succeed?\nBachelor’s degree in data science, computer science, statistics, mathematics, analytics, or a related quantitative field\nStrong analytical skills and a curiosity to investigate unexpected results, troubleshoot issues, and anticipate the downstream impacts of decisions\nFamiliarity with programming and data analysis tools such as Python, SQL, or similar technologies\nDemonstrated attention to detail and the ability to execute complex, multi-step technical workflows accurately and independently\nAbility to manage competing priorities while balancing efficiency, accuracy, and timely delivery\nCapacity to learn new technical systems quickly, adapt to unfamiliar challenges, and collaborate across internal teams\nHelpful but not required\nHands-on experience writing Python scripts and apps or automating analytical workflows\nExperience with data modeling, statistical analysis, machine learning, or model validation\nExposure to Git, version control, debugging, or software development workflows\nFamiliarity with ticketing, live events, sports analytics, or related industries\nApplicants must be currently authorized to work in the United States on a full-time basis without the need for sponsorship, now or in the future.\nBenefits\nWhat are the perks of working at Eventellect?\nA competitive salary and bonus potential\nA comprehensive benefits package, including 90% employee medical coverage, as well as dental and vision coverage, basic term life insurance and short-term disability coverage\n401K program including company match\nA $1,000 annual ticket budget to spend on sports and other live events","description_format":"text","description_chars":5490,"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":[]},"benefits":["401k plan","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Ticketing"],"lifecycle":[{"event":"open","at":"2026-10-29T15:43:16Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":24,"reasons":["conf:2","win:early"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/eventellect-data-scientist","json_url":"https://alion.io/job/eventellect-data-scientist.json","meta":{"generated_at":"2026-11-03T02:19:12Z","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":2938,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":677372},"rest":"https://alion.io/mcp/rest/get_company?id=677372"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Feventellect-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%2Feventellect-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%2Feventellect-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/eventellect-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Feventellect-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3467377}},{"tool":"search_jobs","arguments":{"company":"eventellect.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3467377},"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"}}