{"id":160013,"url":"https://alion.io/job/pollfish-senior-data-scientist","title":"Senior Data Scientist","company":{"id":55561,"name":"Pollfish","domain":"pollfish.com","url":"https://alion.io/company/pollfish","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Athens, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":77000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Python","optional":false},{"name":"R","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Shiny","optional":true},{"name":"Streamlit","optional":true}],"status":"live","first_seen_at":"2026-07-27T00:00:00Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-10-15T04:13:06Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":81},"description":"Job Description:\nWho We Are!\nPollfish, a Prodege, LLC company, is an online market research survey platform where data driven brands bring market research in-house for faster and smarter decision making. We have a proprietary network of 250M consumers/year which enables companies to connect with and understand real consumers worldwide in a fast, easy and cost-effective way.\nStrategic Imperative:\nThe Sr. Data Scientistis responsible for producing actionable insights to drive decision-making across the business through rigorous analysis, experimentation, and business-focused data science. This role applies statistical methods, ML modeling, and behavioral analysis to quantify user behavior, optimize lifecycle marketing, evaluate product and monetization strategies, and inform business decisions. The role will closely collaborate with business stakeholders to translate business problems and data into solutions.\nThis position is centered on hands-on analytics, experimentation, and business impact. While the role will involve building predictive models, it is not focused on the deployment of live production models or ML Ops. The role is intended to incorporate AI agents to continuously improve and automate analytical processes\nPrimary Objectives:\nData Analysis & Insights Development:Drive data-informed progress across priority business areas by delivering rigorous analysis, actionable insights, and close partnership on optimization initiatives.\n\nUser Intelligence, Segmentation & Marketing Enablement: Develop and operationalize user-level insights, segmentation frameworks, and behavioral analysis that enable smarter targeting, personalization, and lifecycle engagement across growth and marketing programs.\n\nExperimentation, Learning & Strategic Insight: Enable confident decision-making through statistically sound experimentation, structured insight generation, and systematic documentation of learnings to inform business planning, long-term strategy, and continuous improvement.\n\nQualifications - To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nDetailed Job Duties: (typical monthly, weekly, daily tasks which support the primary objectives)\nAnalytical Insights & Modeling\nAct as a strategic thought partner with stakeholders by enacting methodical business analysis and offering proactive diagnostics, observations, and recommendations.\n\nBuild and maintain customer segmentation, propensity, and scoring mechanisms for use in lifecycle marketing\n\nPartner with marketing to devise and execute on policies and experimentation frameworks\n\nPartner with Revenue Operations team to streamline pricing and rewards decisions through automated statistical frameworks.\n\nCommunicate findings clearly and document learnings to build reusable knowledge.\n\nProvide technical guidance and mentorship to more junior team members.\n\nStatistical Rigor\nDefine and evangelize best practices and frameworks for design and measurement to ensure statistical rigor\n\nPartner on A/B tests across product, marketing, and monetization initiatives, owning statistical experimentation frameworks (Bayesian and frequentist) and tooling\n\nPartner with teams on hypotheses, success metrics, and post-test actions.\n\nOwn the capture and scaling of learnings to improve future experimentation.\n\nData Foundations Support\nPartner with Analytics Engineering to define canonical and semantic models and other business data requirements necessary to support a well functioning Data Science discipline.\n\nEnable reliable lifecycle tracking and feature generation.\n\nExpose behavioral learnings to ML engineers to inform feature and model development.\n\nPartner with AI teams to translate workflows and recurring analytical patterns into agentic analytics systems that scale insight generation.\n\nWhat does SUCCESS look like?\nSuccess in this role is demonstrated by consistently translating data into clear, actionable decisions that improve product performance, lifecycle marketing effectiveness, and monetization outcomes. This is reflected in well-designed experiments and frameworks that drive confident business choices, analytical insights that meaningfully influence strategy, and strong partnerships with Analytics Engineering and Machine Learning through precise data definitions and feature guidance. Over time, success is evident in a growing body of documented learnings, trusted metrics, and a measurable impact on how the organization tests, learns, and optimizes.\nThe MUST Haves: (ex: job cannot be done without these skills, education, experience, certifications, licenses)\nBachelor’s or Master’s degree in Statistics, Economics, Data Science, Mathematics, or a related quantitative field.\n\nFive or more (5+) years experience in data science roles.\n\nRobust experience in statistical analysis and experimental design, including hypothesis testing and causal reasoning.\n\nUnderstanding of frequentist and Bayesian statistical inference (e.g., PyMC) and demonstrated experience with A/B testing and experimentation frameworks.\n\nExperience leading the analysis and optimization of lifecycle marketing performance across the user journey.\n\nFluency in SQL and ability to work with large, event-level datasets in data warehouse environments (e.g., Snowflake, BigQuery, Redshift).\n\nFluency in Python/R (pandas, matplotlib/seaborn, tidyverse, or similar) and robust experience with common ML packages (scikit-learn or similar).\n\nAbility to develop effective data visualizations that clearly communicate insights to business stakeholders.\n\nStrong communication skills with the ability to translate complex analysis into clear, actionable business insights.\n\nKnowledge of agentic analytics workflows and best design practices.\n\nHigh attention to data quality, metric definitions, and analytical rigor.\n\nThe Nice to Haves: (preferred additional skills, education, experience, certifications, licenses)\nExperience in loyalty programs, performance marketing, or market research.\n\nDeep learning experience\n\nExperience building interactive dashboards in modern BI platforms.\n\nExperience building agentic analytics workflows\n\nExperience building data applications (e.g. Streamlit, Shiny)\n\nCompensation & Transparency\nProdege is committed to equal opportunity and workplace equity. In alignment with the EU Pay Transparency Directive and our commitment to fostering an inclusive, equal-opportunity workplace, we offer a transparent salary range of €45,000 to €64,000 gross per year for this role.\nFinal placement within this range is determined by objective, gender-neutral criteria, including relevant skills and professional experience.\nIn addition to base pay, we support our team members with a competitive benefit package:\nPerks & Benefits:\nPart of an innovative Global Tech Company\n\nPrivate Health Insurance and Dental Plan\n\nMeal Coupons - Monthly\n\nHybrid Working\n\nAnnual Training Budget (Up to 1,500€)\n\nAnnual Wellness Budget (Up to 300€)\n\nWeekly Office Events - Catered Lunch and Breakfast\n\nStocked Kitchen\n\nCompany Outings & Quarterly Events\n\nMental Health Benefits - Wellness Coach App Subscription\n\nGreat office location in the city center - Parking slots available\n\nQuarterly Charitable Giving Allowance\n\nPeer recognition","description_format":"text","description_chars":7473,"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":["Equity","Health insurance","Hybrid work"],"hiring_locations":[{"name":"Greece","iso":"GR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Media & Entertainment","Gift Cards & Loyalty Programs"],"lifecycle":[{"event":"open","at":"2026-07-27T00:00:00Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.66,"p_room":0.28,"age_days":81,"expected_fill_days":35,"reasons":["conf:25","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pollfish-senior-data-scientist","json_url":"https://alion.io/job/pollfish-senior-data-scientist.json","meta":{"generated_at":"2026-10-16T19:06:19Z","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":4573,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":55561},"rest":"https://alion.io/mcp/rest/get_company?id=55561"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpollfish-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%2Fpollfish-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%2Fpollfish-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/pollfish-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpollfish-senior-data-scientist"}]}