Pfizer
Senior Manager, Data Science & AI
Pfizer, Snowflake, Arizona, United States, 85937
Senior Manager, Data Science & AI
Location: India - MumbaiTime Type: VollzeitPosted On: Vor 2 TagenData Science & AI Team
with Commercial Analytics & AI (CAAI) organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data.We are looking for a
Senior Manager, Data Science and AI
who will be responsible for delivering data-derived insights and/or AI-powered analytics tools to Pfizer’s Commercial organization. This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights.RESPONSIBILITIES:Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics.Engage with the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations.Break down technical concepts into digestible insights and guide diverse stakeholders on how to interpret.Continuously evaluate and enhance existing brand/TA data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI.Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making.QUALIFICATION & EXPERIENCE:Bachelor’s degree with
8-12 years
of experience, preferably in Engineering, Economics, Statistics, Computer Science, or related quantitative field.Advanced degree with
3+ years
of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.Experience using Data Science models
to solve problems in a business environment setting.Relevant Experience:Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and/or working in Snowflake/Databricks.Experience with machine learning technology, such as: big data stacked Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular.Experience in understanding brand content, strategy, and tactics.Ability to effectively utilize dashboards and data products to derive insights.Experience with supporting commercial strategies and tactics, experience in the pharmaceutical or healthcare industry is preferred.Experience in management of secondary data with application of real-world data.Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics.Able to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics.Capable of describing relevant caveats in data or in a model and how they relate to business questions.Ability to be flexible, prioritize multiple demands, and deal with ambiguity.PROFESSIONAL CHARACTERISTICS:Growth Mindset:
Evaluates, understands and communicates the impact of certain data insights across the business.Analytical Thinker:
Understands how to synthesize facts and information from varied data sources into discernable insights.Strong Data and Information Manager:
Uses analytical skills/tools to produce data in a clean, organized way to drive objective insights.Strong Communicator:
Can translate complex, technical findings into commentary that facilitates effective decision-making.Relationship Manager:
Builds robust and long-term strategic relationships with individuals from all levels of the organization.Highly Collaborative:
Manages projects with and through others; shares responsibility and credit.Strong Project Manager:
Clearly articulates scope and deliverables of projects; develops action plans and monitors progress independently.Proactive Self-Starter:
Takes an active role in one’s own professional development.ORGANIZATIONAL RELATIONSHIPS:US Commercial Brand/TA TeamsData Science and AI Leadership TeamClose collaboration with Analytics Engineering, Insight Strategy & Execution, and Market Research Insights teamData Science counterparts in Digital OrganizationChief Marketing Office across innovative data-science driven capabilitiesFinancial Accountability:Manage budget and spending for CAAI Data Science projects (including contract resources).Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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Location: India - MumbaiTime Type: VollzeitPosted On: Vor 2 TagenData Science & AI Team
with Commercial Analytics & AI (CAAI) organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data.We are looking for a
Senior Manager, Data Science and AI
who will be responsible for delivering data-derived insights and/or AI-powered analytics tools to Pfizer’s Commercial organization. This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights.RESPONSIBILITIES:Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics.Engage with the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations.Break down technical concepts into digestible insights and guide diverse stakeholders on how to interpret.Continuously evaluate and enhance existing brand/TA data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI.Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making.QUALIFICATION & EXPERIENCE:Bachelor’s degree with
8-12 years
of experience, preferably in Engineering, Economics, Statistics, Computer Science, or related quantitative field.Advanced degree with
3+ years
of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.Experience using Data Science models
to solve problems in a business environment setting.Relevant Experience:Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and/or working in Snowflake/Databricks.Experience with machine learning technology, such as: big data stacked Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular.Experience in understanding brand content, strategy, and tactics.Ability to effectively utilize dashboards and data products to derive insights.Experience with supporting commercial strategies and tactics, experience in the pharmaceutical or healthcare industry is preferred.Experience in management of secondary data with application of real-world data.Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics.Able to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics.Capable of describing relevant caveats in data or in a model and how they relate to business questions.Ability to be flexible, prioritize multiple demands, and deal with ambiguity.PROFESSIONAL CHARACTERISTICS:Growth Mindset:
Evaluates, understands and communicates the impact of certain data insights across the business.Analytical Thinker:
Understands how to synthesize facts and information from varied data sources into discernable insights.Strong Data and Information Manager:
Uses analytical skills/tools to produce data in a clean, organized way to drive objective insights.Strong Communicator:
Can translate complex, technical findings into commentary that facilitates effective decision-making.Relationship Manager:
Builds robust and long-term strategic relationships with individuals from all levels of the organization.Highly Collaborative:
Manages projects with and through others; shares responsibility and credit.Strong Project Manager:
Clearly articulates scope and deliverables of projects; develops action plans and monitors progress independently.Proactive Self-Starter:
Takes an active role in one’s own professional development.ORGANIZATIONAL RELATIONSHIPS:US Commercial Brand/TA TeamsData Science and AI Leadership TeamClose collaboration with Analytics Engineering, Insight Strategy & Execution, and Market Research Insights teamData Science counterparts in Digital OrganizationChief Marketing Office across innovative data-science driven capabilitiesFinancial Accountability:Manage budget and spending for CAAI Data Science projects (including contract resources).Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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