{"id":1296136,"url":"https://alion.io/job/revenue-analytics-data-scientist","title":"Data Scientist","company":{"id":2284248,"name":"Revenue Analytics","domain":"revenueanalytics.com","url":"https://alion.io/company/revenueanalytics","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":95000,"max":110000,"currency":"USD","period":"year","gross":null,"usd_annual":110000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-01-30T19:48:55Z","employer_posted_date":"2025-01-30","last_verified_at":"2026-10-01T09:15:10Z","board_verified":true,"closed_at":null,"days_open":608,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":608},"description":"Data Scientist\nRevenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.\nFounded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.\nThis Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.\nAs a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.\nWhat You Will Do:\nBuild machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.\nAnalyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.\nWrite clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.\nApply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.\nPartner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.\nWhat You Will Bring:\n0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.\nBachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.\nHands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.\nAbility to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.\nStrong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.\nPreferred Qualifications:\nExperience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.\nExperience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.\nFamiliarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.","description_format":"text","description_chars":3396,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Data & Analytics","Revenue & SaaS Metrics Analytics"],"lifecycle":[{"event":"open","at":"2026-09-26T09:14:31Z"}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.109,"p_room":0.28,"age_days":608,"expected_fill_days":7,"reasons":["conf:22","win:tail","crowd:junior"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":110000,"is_top_pay":false},"html_url":"https://alion.io/job/revenue-analytics-data-scientist","json_url":"https://alion.io/job/revenue-analytics-data-scientist.json","meta":{"generated_at":"2026-10-01T13:04:06Z","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":4619,"day_limit":5000,"remaining_today":381,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}