{"id":2906956,"url":"https://alion.io/job/mathco-lead-data-scientist","title":"Lead Data Scientist","company":{"id":455909,"name":"MathCo","domain":"mathco.com","url":"https://alion.io/company/mathco","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Hypothesis","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false},{"name":"AI Agents","optional":true},{"name":"Databricks","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-24T09:45:19Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Role Overview\nWe are hiring a Lead Data Scientist - Pharma Analytics to lead client-facing analytics engagements and deliver advanced AI/ML solutions for global pharmaceutical organizations.\nThe ideal candidate will possess deep expertise in Pharma Commercial Analytics, Marketing Analytics, Machine Learning, Advanced Analytics, and Data Science delivery, with strong hands-on experience in Python, SQL, Cloud technologies, and pharma datasets. The role requires balancing technical excellence, stakeholder management, and team leadership while translating complex business problems into scalable analytics solutions.\nKey Responsibilities\nAnalytics & Solution Delivery\nPartner with business stakeholders and clients to understand business challenges and translate them into analytical solutions.\nDesign and deliver scalable data science and advanced analytics solutions.\nLead end-to-end analytics projects from problem definition through deployment and impact measurement.\nDevelop predictive models, forecasting solutions, machine learning algorithms, and optimization frameworks.\nDrive insights generation through statistical modelling, machine learning, segmentation, forecasting, and performance analytics.\nPresent actionable recommendations and storytelling-driven insights to senior client stakeholders.\nTeam Leadership\nLead, mentor, and develop a team of Data Scientists and Analysts.\nConduct technical solution reviews, code reviews, and mentoring sessions.\nDrive adoption of best practices across Data Science, AI/ML, Cloud, GenAI, and Analytics delivery.\nEnsure high-quality and timely project execution.\nClient Engagement\nCollaborate closely with Pharma Commercial, Marketing, Brand, Sales, Market Access, and Strategy teams.\nParticipate in solution design, capability building, proposal development, and client presentations.\nBuild strong relationships with senior stakeholders and act as a trusted analytics advisor.\nRequired Skills (Must Have)\nCore Technical Skills\nAdvanced proficiency in Python\nAdvanced proficiency in SQL\nStrong expertise in:Machine Learning\nPredictive Modeling\nStatistics\nHypothesis Testing\nFeature Engineering\nModel Validation\nForecasting\n\nData Visualization:Power BI (Preferred)\nTableau (Alternative)\n\nCloud exposure in at least one:AWS\nAzure\nGCP\n\nSkill Mix 1: Commercial Pharma Analytics\nMandatory Pharma Analytics Experience\nHands-on experience in one or more of:\nCommercial Analytics\nSales Analytics\nMarket Analytics\nBrand Analytics\nPerformance Analytics\nForecasting Analytics\nPharma Data Sources\nStrong working knowledge of at least some of the following:\nIQVIA\nSymphony Health\nMMIT\nTruven\nHealthJump\nPrescription Data\nClaims Data\nPatient-Level Commercial Data\nPreferred Use Cases\nSales Force Effectiveness\nTerritory Alignment\nTargeting & Segmentation\nCommercial Performance Measurement\nIncentive Compensation Analytics\nLaunch Analytics\nMarket Share Analytics\nSkill Mix 2: Marketing Analytics & AI/ML\nMandatory Pharma Marketing Analytics Experience\nStrong experience in commercial and marketing analytics within pharmaceutical or life sciences organizations.\nMarketing Analytics Expertise\nHands-on experience in one or more of:\nMarketing Mix Modeling (MMM/MMX)\nMulti-Touch Attribution (MTA)\nCampaign Effectiveness\nCustomer Segmentation\nOmnichannel Analytics\nCustomer Journey Analytics\nNext Best Action (NBA)\nForecasting Models\nAI/ML Applications in Pharma\nExperience in:\nPredictive Analytics\nMachine Learning\nTime Series Forecasting\nRecommendation Engines\nNLP Applications\nCustomer Analytics\nPhysician Analytics\nGenAI Solutions\nLLM-based Applications\nGood to Have\nGenerative AI and Agentic AI applications\nNLP and LLM-based Analytics\nTime Series Forecasting\nMLOps\nDatabricks\nSnowflake\nHealthcare/Pharma Consulting experience\nExperience working with global pharmaceutical clients\nExposure to advanced cloud-based ML deployments\nLeadership Competencies\nStrong analytical and problem-solving mindset.\nAbility to independently drive client conversations.\nProven stakeholder management skills.\nExperience mentoring and developing analytics teams.\nAbility to manage multiple projects simultaneously.\nStrong written and verbal communication skills.\nAbility to influence senior stakeholders through data-driven recommendations.\nPreferred Educational Qualification\nBachelor's or Master's degree in:Statistics\nMathematics\nComputer Science\nEngineering\nData Science\nAnalytics\n\nMBA is an added advantage.","description_format":"text","description_chars":4432,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-20T08:15:39Z"}],"visa":[],"liveness":{"score":74,"band":"hot","label":"Hiring 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