{"id":3977979,"url":"https://alion.io/job/prescience-decision-solutions-senior-data-scientist-loyalty-analytics","title":"Senior Data Scientist (Loyalty Analytics)","company":{"id":4529049,"name":"Prescience Decision Solutions","domain":"prescienceds.com","url":"https://alion.io/company/prescience-decision-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T18:35:35Z","employer_posted_date":null,"last_verified_at":"2026-11-09T18:35:35Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"What you'll do:\nDevelop analytical and machine-learning solutions to improve member acquisition, engagement, retention, and lifetime value.\nBuild segmentation, propensity, recommendation, uplift, and optimization models for loyalty use cases.\nDesign and analyze experiments, including test-and-control frameworks and causal-impact measurement.\nTranslate business questions into rigorous analytical approaches and actionable recommendations.\nPartner with product managers, engineers, analysts, marketers, and other data scientists to define priorities and deliver production-ready solutions.\nEstablish success metrics and measurement frameworks for loyalty initiatives.\nCommunicate findings clearly to technical and non-technical audiences, including senior stakeholders.\nPromote high standards for data quality, reproducibility, model governance, and responsible use of customer data.\nContribute to the evolution of the organization's loyalty data platform and data products.\n\nWhat you'll bring:\nSignificant experience in data science, advanced analytics, or a closely related quantitative field.\nStrong programming skills in Python and SQL.\nPractical experience with statistical modelling, machine learning, experimentation, and causal inference.\nExperience working with customer, marketing, CRM, membership, rewards, or personalization data.\nAbility to work with large-scale, complex, and evolving data environments.\nStrong product sense and the ability to connect analytical outputs to customer and commercial outcomes.\nExcellent written and verbal communication skills.\nA collaborative, pragmatic approach and a track record of delivering outcomes through cross-functional partnerships.\n\nRequirementsPreferred qualifications:\nExperience with loyalty, travel, marketplaces, subscriptions, rewards, or customer lifecycle analytics.\n8+ years of experience in a similar analytical role.\nExperience developing models that influence customer journeys or marketing decisions.\nExperience taking models from prototyping through deployment, monitoring, and iteration.\nGraduate degree in statistics, computer science, operations research, economics, mathematics, or a related quantitative discipline.\nSkills\nData Science, Loyalty, Loyalty Analytics, Rewards, 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