{"id":1931861,"url":"https://alion.io/job/ibotta-data-scientist-marketing-analytics","title":"Data Scientist, Strategic Partner Analytics","company":{"id":5341,"name":"Ibotta","domain":"ibotta.com","url":"https://alion.io/company/ibotta","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"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":"explicit","locations":["Denver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-05T19:45:17Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-12T15:39:59Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Ibotta is seeking a Data Scientist, Strategic Partner Analytics to join our Publisher Insights team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Marketing Team.\nAs a Data Scientist, you’ll work on our Rewards Optimization models, which use uplift modeling to deliver personalized treatments in our weekly retention programs. You’ll own these models end to end, from working with stakeholders and preparing data through model development, production deployment, and ongoing monitoring. You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team.\nThis position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.\nNot based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.\nWhat you will be doing:\nBuild, retrain, and tune the uplift models that decide which bonus each saver receives in our weekly retention programs, balancing incremental redemptions against cost.\n\nOwn these models in production: maintain feature pipelines, deploy new model versions, and monitor performance and drift over time, following Ibotta’s model development standards.\n\nManage weekly model operations: review results as they come in, adjust model parameters to stay on budget, and within performance thresholds.\n\nHelp design and analyze the A/B tests and holdouts that measure bonus performance and produce training data for our models.\n\nReport model performance and business impact to Marketing stakeholders, and explain results clearly to non-technical audiences.\n\nAnalyze large datasets on saver behavior to find insights that improve our models and marketing programs.\n\nWork with analytics engineers, data engineers, and Marketing partners to find, define, and prepare the data needed for analysis and modeling.\n\nContribute to team best practices, including documentation, code review, and reusable modeling workflows.\n\nEmbrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere.\n\nWhat we are looking for:\n2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experience.\n\nBachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferred.\n\nDeep Python (pandas, scikit-learn) and SQL skills. Spark or PySpark experience is a strong plus.\n\nHands-on experience building and evaluating machine learning and statistical models, such as gradient boosting and neural networks (TensorFlow/Keras or PyTorch).\n\nWorking knowledge of experimentation and causal inference. Exposure to uplift or heterogeneous treatment effect modeling is a strong plus.\n\nExperience deploying or maintaining at least one model in production, using Git and an orchestration tool such as Airflow or Databricks Jobs. Experience with model monitoring and drift detection is a plus.\n\nExperience building features from large, event-level datasets.\n\nComfortable using AI coding assistants, and able to review, test, and debug the code they produce.\n\nA passion for driving important decisions using data and data storytelling, including explaining model results and trade-offs to non-technical partners.\n\nExperience with marketing incentives, promotions, loyalty, or retention programs, or with models that balance competing goals such as volume and cost, is a plus.\n\nAbout Ibotta (“I bought a…”)\n Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.\nTo learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.\nAdditional Details:\nThis position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals.\n\nBase compensation range: $110,000 - $130,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.\n\nIbotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.\n\nApplicants must be currently authorized to work in the United States on a full-time basis.\n\nApplicants are accepted until the position is filled.\n\nFor the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper Channels.\n\nRecruiting Agency Notice\nIbotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.","description_format":"text","description_chars":6126,"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":["401k plan","Equity","Flexible time off"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Sales & Marketing","Advertising","Loyalty Programs","Online Groceries"],"lifecycle":[{"event":"open","at":"2026-10-05T22:12:47Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 1","filings_12m":5,"filings_prev_12m":4,"green_card_filings_12m":1,"median_offered_wage_usd":167500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":46,"reasons":["conf:3","velocity","win:early","comp:junior"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":130000,"is_top_pay":true},"html_url":"https://alion.io/job/ibotta-data-scientist-marketing-analytics","json_url":"https://alion.io/job/ibotta-data-scientist-marketing-analytics.json","meta":{"generated_at":"2026-10-12T19:24:55Z","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":31491,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":5341},"rest":"https://alion.io/mcp/rest/get_company?id=5341"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fibotta-data-scientist-marketing-analytics"},{"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%2Fibotta-data-scientist-marketing-analytics"},{"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%2Fibotta-data-scientist-marketing-analytics"},{"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/ibotta-data-scientist-marketing-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fibotta-data-scientist-marketing-analytics"}]}