Associate Director, Data Science

Job Description

Within our Commercial Analytics Solution organization, we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Associate Director, Data Science as part of Impact Assessment and Investment Optimization (IAIO) team.

The position of Associate Director – Data Science as a functional area director for activation of PromoFIT capability across various TA/markets. This position will be accountable for engaging with the PromoFIT product development team, Integrated Delivery teams and business Principles (among other stakeholders) and be the accountable for enabling PromoFIT capability for marketing analytics with particular focus on promotional investment optimization. In this role, you'll have sound analytical and communication skills to help business stakeholders address the complex opportunities of marketing effectiveness, ROI, brand equity impact, channel effectiveness, and pricing impact. In this role you’ll work with cross-functional teams dealing with customer engagements and marketing opportunities. You may need to lead a team of data scientist to promote the capability activation requirements and provide thought partnership for ROI related assessments. We're looking for a candidate with strong knowledge in marketing mix analytics, technically sound in pharma Data Sets and who is self-driven in enabling PromoFIT as a capability across markets/BU.

Primary activities and assignments include, but are not limited to:

• Deep knowledge with Marketing Analytics. Should be an SME in Pharma Marketing Analytics- ROI, Clustering, Test & Control, MMX modeling, Campaign management

• Accelerated Value Realization: Leveraging market expertise expedites the journey from product development to value realization and enabling market engagement and product roll out.

• Prepare a consensus focused measurement playbook plan to provide thought focused on developing measurement capability and roadmap.

• Ensures the solution designed is aligned with the business goals and integrates with operational strategy

• Present results and key findings to the country/regional/global business leadership teams and collect feedback

• Guides focused meetings and workshops with business audience to brainstorm requirements, solutions, and approaches

• Build and analyze behavioral segments, Promotional reply models, Return on Investments, impact assessment for physician- and patient-directed promotional programs and Marketing Mix models, Optimal promotional sequences to finalize business impacts of various Health Care Provider (HCP) and Health Care Consumer (HCC) promotions.

• Convey effectively with cross-functional teams and internal clients such as marketing brand principals, center of excellence teams, senior management etc., to stay abreast of business trends, comprehend the business issues and develop relevant business intelligence and analytical solutions.

• Opportunities to improve go-to-market strategy by gaining additional insight into customer interactions and sentiment

• Direct / Hands on with Statistical and Machine Learning concepts. ML techniques and their applications to business and customer analytics problems

• Generate standard or custom reports and presentations summarizing business and financial data for review by executives, managers, clients, and other stakeholders.

• Deep comprehension of internal customers' data and analytical needs focusing on the customer-facing model demands.

Qualifications:

• Minimum 4-6 years of knowledge with an advanced degree (MS, PhD) in a quantitative science or related discipline of engineering/economics/statistics.

• Knowledge of marketing analytics and application of advanced methods on large and disparate datasets, specifically: Modelling and analytics: Design of Experiments, Time Series, Regression methods.

• Data Mining, Predictive Modelling & Machine Learning algorithms. Optimization & Simulation. Analyzing sales impact of promotional campaigns such as Linear TV, Streaming TV, Over-the-Top (OTT), Radio, Mobile, Display, Social, Point of Care, Paid & Organic search etc. that are directed at Health Care Consumers (HCC).

• Relevant expertise in using analytic tools such as Excel, SAS, SQL, Python, R, ML

• Comprehension of the Health Care or Pharmaceutical industry and knowledge of using various 3rd party data sources, such as IMS Exponent and/or Longitudinal Patient Level Data are necessary.

• Strong analytical skills, excellent communication skills and the ability to convey actionable analytical findings to a non-technical audience in clear and concise language.

• Knowledge of the application of statistical estimation techniques and / or optimization techniques

• Exposure to working with large data sets

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

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Expected salary range:

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listedhere.

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