{"id":3239118,"url":"https://alion.io/job/tiger-analytics-senior-data-scientist-pharma","title":"Senior Data Scientist - Pharma","company":{"id":3693,"name":"Tiger Analytics","domain":"tigeranalytics.com","url":"https://alion.io/company/tigeranalytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":199000,"period":"year","method":"global_role_seniority_cell","sample_n":2679},"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":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Feature Store","optional":false},{"name":"HIPAA","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"PPO","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-25T11:22:51Z","employer_posted_date":null,"last_verified_at":"2026-10-25T11:22:51Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"About Tiger Analytics\nShape the Future of AI. Transform the World's Leading Businesses.\nTiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.\nWe are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India\nAt Tiger Analytics, we don't just help businesses adapt to the future—we help them build it\nWe are seeking a hands-on, highly skilled Senior Data Scientist to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, You'll build the decisioning engine behind next best action (NBA) and next best content (NBC) for commercial teams. The work covers modeling, offline evaluation, and production deployment on Databricks.\n\nKey Responsibilities:\nDesign and deploy NBA/NBC models that choose the right action, channel, content, and timing for each customer or HCP\n\nBuild ML, deep learning, and reinforcement learning solutions, including contextual bandits, sequential decision models, and policy-based methods\n\nDevelop propensity, response, and uplift models that feed the decisioning layer\n\nRun offline policy evaluation and online experiments to measure incremental impact\n\nOwn Databricks training pipelines: PySpark feature engineering, MLflow tracking, Unity Catalog lineage, and automated evaluation gates before models reach production\n\nDesign feedback loops so outcomes flow back into retraining\n\nApply GenAI/LLMs where useful, such as content tagging, insight summarization, and content personalization\n\nPartner with engineering, marketing technology, and business stakeholders, and explain results to non-technical audiences\n\nMentor junior data scientists and set modeling standards\n\nRequirements\n6 – 8 years in data science or applied ML, with hands-on NBA, NBC, recommendation, or personalization work in production\n\nStrong Databricks experience (Spark/PySpark, Delta Lake, MLflow; Feature Store or Unity Catalog a plus)\n\nSolid grounding in machine learning, deep learning (PyTorch or TensorFlow), and reinforcement learning (e.g., bandits, Q-learning/DQN, PPO)\n\nProficiency in Python and SQL\n\nExperience taking models from prototype to production with MLOps practices (CI/CD, monitoring, retraining)\n\nExperience with experimentation, A/B testing, and measuring incrementality\n\nBachelor's or Master's in a quantitative field (Master's or PhD preferred)\n\nPreferred (Not Required)\nLife sciences or pharma commercial analytics (omnichannel, HCP/patient engagement, field force, patient journey data)\n\nFamiliarity with CRM, CDP, or marketing automation platforms\n\nCausal inference and uplift modeling\n\nExperience with regulated or compliance-constrained data (e.g., HIPAA)\n\nDatabricks certifications\n\nWhy Join Tiger Analytics:\nDrive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes.\n\nBuild and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships.\n\nBenefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off.\n\nContinuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation.\n\nBenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.\nTiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.\nOriginally posted on Himalayas","description_format":"text","description_chars":4775,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Growth 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