{"id":2906954,"url":"https://alion.io/job/mathco-data-science-manager-pharma","title":"Data Science Manager - Pharma","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":null,"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":16500,"max_usd":44000,"period":"year","method":"role_country_seniority_unknown","sample_n":166},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Reinforcement Learning","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T21:08:55Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Job Responsibilities:\nAs Manager-Delivery, you will be responsible for a wide range of engagements listed below:\nCollaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project.\nDevelop a comprehensive project plan that aligns with the scope and objectives of the project.\nDevelop appropriate solution design that will help client achieve their goals.\nAssign delivery team members to different activities suited to their individual skills.\nLead the execution of project activities according to the project plan. \nMonitor the project, track milestones, and adhere to agreed-upon timelines and scope.\nAccountable for the delivery quality of the project in question.\nComply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores.\nLead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients.\nEnsure compliance with best practices and established processes for quality assurance-for example, using quality assurance checklists, coding best practices, peer reviews, and documentation.\nProvide both business and technical guidance to the delivery team.\nCoach individuals in the team and build a high-performance workplace.\nEstablish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas.\nReview the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc.\nRequired Skills (Must have):\nTech:\nAdvanced programming knowledge in Python and SQL.\nAdvanced knowledge in Probability and Statistics, including hypothesis testing.\nAdvanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them.\nKnowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib.\nExperienced in modern development tools and writing code collaboratively.\nIntermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms.\nPharma & RWE skillset:\nExperience working with patient level data such as hands-on experience with RWE datasets such as - Optum, Komodo, IQVIA Claims in depth\nExperience working on Real World Evidence Use cases such as patient journey, Identifying Adherence, Drop-offs, Productivity and Days on therapy and Survival analysis Sequence model for \nAbility to understand and solution for Pharmaceutical and Lifesciences analytical and business solutions\nNon Tech:\nAbility to recognize and pursue pragmatic alternatives vis-à-vis a perfect solution, balancing priorities of time with potential business impact.\nPlan projects, break them down across individual data scientists in the team, track their performance and manage risk.\nAbility to storyboard an entire presentation to a non-technical audience.\nAbility to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions.\nStrong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations.\nTechnical leadership and mentorship to the community of data scientists in the organization.\nRequired Skills (Good to have):\nTech:\nAdvanced knowledge in one or more areas besides Machine Learning -Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale, Reinforcement Learning, Graph Machine Learning, Explainable Machine learning.\nAdvanced understanding of Cloud technologies and experience of deploying applications on cloud.\n Advanced knowledge of project management methodologies and tools\nAdvanced knowledge levels in SQL and Python\nIntermediate to advanced knowledge in other areas of data science-namely, technical areas such as time series forecasting, Bayesian data analysis, Operations Research, and analytics domain areas such as Pricing analytics, Media Mix Modeling, B2B/B2C Customer analytics, etc.\nNon Tech:\nHands-on experience working in the EMEA/Asia Pacific healthcare\nAbility to solution critical business problems into its component parts and match each such part with an appropriate technical approach.\nSolution proposals, collaborating with growth, customer success, and central solutioning functions.\nBeing a Mathemagician:\nUnderstand & embody MathCo’s culture and way of working.\nDemonstrate an ownership mindset to drive results, striving for excellence.\nEngage actively and contribute to initiatives fostering company growth.\nSupport diversity and understand different perspectives.\nPreferred Educational Qualifications:\nAn undergraduate degree in engineering, statistics, mathematics, computer science, or another technical field.\nFor those with an undergraduate degree in non-technical fields, relevant prior work experience and technical aptitude will be important.\nAs a testament to our growth, we have been:\nPositioned as a Leader in Top Generative AI Service Providers - PeMa \nQuadrant 2023 by AIMResearch\nRecognized among the Inspiring Workplaces in North America, 2023\nAccredited for Inclusive Practices by Great Place to Work Institute, India\nRecognized among India’s Best Workplaces™ for Diversity, Equity, Inclusion Belonging 2023 by Great Place To Work® India","description_format":"text","description_chars":5507,"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"],"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":68,"band":"ok","label":"Likely open","p_open":1,"p_active":0.758,"p_room":0.9,"age_days":15,"expected_fill_days":23,"reasons":["conf:3","velocity","win:mid"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/mathco-data-science-manager-pharma","json_url":"https://alion.io/job/mathco-data-science-manager-pharma.json","meta":{"generated_at":"2026-10-23T21:48:36Z","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":4135,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":455909},"rest":"https://alion.io/mcp/rest/get_company?id=455909"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmathco-data-science-manager-pharma"},{"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%2Fmathco-data-science-manager-pharma"},{"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%2Fmathco-data-science-manager-pharma"},{"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/mathco-data-science-manager-pharma\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmathco-data-science-manager-pharma"}]}