{"id":3266425,"url":"https://alion.io/job/choice-hotels-data-scientist-rm-agentic-systems-and-pricing-analytics","title":"Data Scientist, RM Agentic Systems and Pricing Analytics","company":{"id":1753535,"name":"Choice Hotels","domain":"choicehotels.com","url":"https://alion.io/company/choicehotels-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["North Bethesda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":114907,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Feature Store","optional":false},{"name":"Keras","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Matplotlib","optional":true},{"name":"Microsoft Excel","optional":true},{"name":"Power BI","optional":true},{"name":"Seaborn","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-01T13:17:51Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"JOB SUMMARY:\nAs a Data Scientist for Choice's Revenue Management Agentic Systems and Pricing Analytics team, you will use AI, data science, and revenue management expertise to solve pricing, forecasting, and commercial performance questions at the brand, market, and hotel/property level. You will design, build, test, and deploy agentic AI frameworks that support pricing analysis, demand forecasting, elasticity measurement, dynamic pricing recommendations, and causal inference analytics. You will partner with Revenue Management, Pricing, Analytics, Product, and Technology teams to convert business questions into scalable models, agents, and decision-support tools that improve key KPIs such as RevPAR, RPI, ADR, occupancy, and competitive price position. This individual-contributor role will develop predictive models, evaluate pricing and promotional strategies, and help modernize RM workflows through the responsible use of AI platforms such as Claude, Copilot, and OpenAI. The role requires hands-on experience with model development, validation, agent rollouts, and production-ready analytics that improve pricing strategy and revenue outcomes.\nRESPONSIBILITIES:\nAgentic AI Systems, Model Operations and Data Engineering\nDesign, develop, test, and roll out agentic AI frameworks that support Revenue Management and pricing workflows, including agents for pricing diagnostics, demand signals, competitive insights, and recommendation support.\nBuild and maintain data pipelines, feature stores, model-ready datasets, and analytical tools using SQL, Python, and approved enterprise data sources.\nImplement responsible AI patterns for agent orchestration, evaluation, monitoring, prompt/version control, guardrails, token throttling, and hierarchical model routing.\nUse AI platforms such as Claude, CoWork, Copilot, and OpenAI to prototype, deploy, and scale agents in partnership with Technology, Product, and Analytics teams.\nCreate system health and model performance KPIs for AI-enabled RM solutions, including adoption, latency, accuracy, quality, cost efficiency, and business impact.\nPredictive Forecasting, Elasticity, Dynamic Pricing and Causal Analytics\nDevelop and validate predictive demand forecasting models for short-term and long-term revenue management planning at the brand, market, and hotel/property level.\nEstimate price elasticity, demand sensitivity, booking pace, segmentation behavior, and competitive response to inform pricing strategy and rate recommendations.\nApply causal inference, experiment design, A/B testing, uplift measurement, and statistical validation to evaluate pricing, promotional, and RM initiatives.\nAnalyze historical and forward-looking data to identify patterns, trends, and revenue opportunities that improve RevPAR, RPI, ADR, and occupancy.\nTranslate model outputs into clear recommendations, visualizations, and executive-ready insights for Revenue Management and Pricing stakeholders.\nRevenue Management Strategy, Competitive Analysis and Stakeholder Delivery\nPerform competitive analysis using internal and external market signals to guide pricing strategy at the brand, market, and hotel/property level.\nIdentify opportunities to improve RevPAR, RPI, ADR, occupancy, price position, and revenue capture through scalable pricing analytics and RM decision support.\nPartner with Revenue Management, Pricing, Brand, Product, Operations, and Technology teams to prioritize use cases based on business value, feasibility, and adoption impact.\nDevelop business cases, analytical readouts, implementation plans, and stakeholder materials that support commercial decisions and RM transformation initiatives.\nManage intake of analytical and AI-agent requests, define success metrics, and support deployment, training, change management, and post-launch measurement.\nQUALIFICATIONS:\nEmployment Experience\n2+ years of professional experience using structured and unstructured data to perform statistical analysis, build predictive models, and provide business insights.\nHands-on experience developing predictive demand forecasting, price elasticity, dynamic pricing, causal inference, experimentation, and machine learning models.\nDemonstrated experience building, deploying, or operationalizing AI agents or agentic workflows using Claude, CoWork, Copilot, OpenAI, or comparable enterprise AI platforms.\nExperience with token throttling, hierarchical model routing, model evaluation, prompt/version management, guardrails, monitoring, and responsible AI practices for production or business-facing agents.\nTechnical Skills\nHigh proficiency in Python, SQL, and/or R, with experience using supervised and unsupervised learning methods, statistical modeling, feature engineering, validation, and testing.\nExperience with ML frameworks or libraries such as TensorFlow, PyTorch, Keras, Scikit-Learn, LangChain, LlamaIndex, or Semantic Kernel is a plus.\nProfessional experience creating data visualizations and executive-ready analytics using Tableau, Power BI, Excel, Matplotlib, or Seaborn.\nProficient in Microsoft Excel, PowerPoint, and business intelligence tools; familiarity with Microsoft Copilot and M365 productivity workflows preferred.\nAdditional Skills & Competencies\nStrong strategic and critical thinking skills, with the ability to draw conclusions from data and translate analytical findings into RM and pricing recommendations.\nAbility to decompose Revenue Management and Pricing questions into analytical, AI-agent, and model-development use cases with clear success metrics.\nStrong communication, storytelling, teamwork, collaboration, organization, and stakeholder management skills.\nStrong interpersonal skills, with the ability to build trust and work across departments and disciplines to design practical solutions.\nKnowledge of pricing, revenue management, hotel revenue strategy, RevPAR, RPI, ADR, occupancy, segmentation, and distribution principles is strongly preferred.\nEducation Requirements\nBachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Business Analytics, Information Systems, or a related quantitative field, or an equivalent combination of education and relevant work experience.\nA master’s degree in a related quantitative field is preferred.\nCOMPENSATION & SALARY RANGE:\nThe salary range for this position is $114,907-135,000.\nThis role is also eligible for an annual bonus under Choice’s Management Incentive Plan (MIP).\nPay ranges listed are what Choice Hotels reasonably expects to pay. Actual pay may be higher or lower and ranges may be adjusted in the future. Pay positioning within the range is influenced by factors including-but not limited to-education, experience, skills, certifications, performance, geographic location, business needs, seniority, and travel requirements.\nWORK LOCATION & HYBRID SCHEDULE:\nThis position is based at Choice Hotels International's corporate headquarters in North Bethesda, Maryland. Associates follow a hybrid work schedule, working in the office Monday through Thursday and remotely on Fridays.\nRELOCATION & SPONSORSHIP:\nPlease note that relocation assistance is not available for this position. Additionally, Choice Hotels is not able to provide employment visa sponsorship now or in the future for this role.\nChoice prioritizes our associate wellbeing by offering a comprehensive benefits program that is both competitive and flexible to help you achieve your wellbeing goals - here are just a few:\nCompetitive compensation and benefits, including medical, dental, and vision coverage\nLeave and paid time-off for holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious observance\nFinancial benefits for retirement and health savings\nEmployee recognition programs\nDiscounts at Choice hotels worldwide\nAbout Choice\nChoice Hotels International, Inc. (NYSE: CHH), is one of the largest lodging franchisors in the world. With 7,500 hotels in 45+ countries and territories, we offer a range of high-quality lodging options in the upper upscale, upper midscale, midscale, extended stay, and economy segments. We’re the hotel company for those who choose to bet on themselves - the striver, the dreamer, the entrepreneur - because that’s who we are, too.\nAt Choice, we are united by the simple belief that tomorrow will be even better than today - for associates, our company, and our franchisees. At our worldwide corporate headquarters in North Bethesda, Maryland, at our technology center in Scottsdale, Arizona, and through our associates around the globe, every voice is heard and every idea is listened to, no matter what area of the company they come from. We are united in supporting the entrepreneurial dreams of our thousands of franchise owners, which propels us forward - giving our work at Choice a purpose larger than our business.\nOur corporate office locations:\nNorth Bethesda, MD - Located at Pike & Rose, our worldwide headquarters is less than 15 miles from Washington, D.C., one block away from the North Bethesda Metro station, with easy access to I-495, complimentary parking, electronic charging stations, restaurants and retail.\nScottsdale, AZ - Located at the northwest corner of Loop 101, the Scottsdale office is home to our technology, eCommerce and customer service organizations, with easy access to complimentary parking, electronic charging stations, restaurants and retail.\nMinneapolis, MN - Select roles are based in our Minneapolis office on Highway 394, near the intersection with Highway 100, only five minutes from downtown.\nField/Remote - Select roles designated as field/remote will require associates to work from a home office, connecting virtually with Choice team members and leadership on Zoom, with possible required travel depending on the role.\nChoice’s Cultural Values\nWelcome and Respect Everyone | Be Bold | Be Quick | Listen | Be Curious | Show Integrity\nChoice’s Leadership Principles\nAct with Intention | Lead with Authenticity | Grow & Deliver","description_format":"text","description_chars":10024,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Home office","Hybrid work","Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Hotels & Resorts"],"lifecycle":[{"event":"open","at":"2026-10-26T09:30:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 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