Job Description

This position will be responsible for supporting the marketing analytics in partnership with the business team with particular focus on promotional investment optimization. As a Data Scientist, you need to have excellent quantitative and analytical skills to combine the art and science of data analytics and marketing to help business stakeholders address the complex challenges 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 leadership. The role delivering an evolving stream of value and enabling fact-based decision making throughout the lifecycle of the product. This role will be responsible to support brands with go-to-market strategies and customer analytics with a focus on making analytics solutions scalable. We're looking for a strong, technically sound in pharma Data Sets who is interested in working within a challenging environment.

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

• Experience with Marketing Analytics. Should have prior experience in Pharma Marketing Analytics - ROI, Clustering, Test & Control, MMX modeling, Campaign management

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

• Communicate effectively with cross-functional teams and internal clients such as marketing brand leaders, center of excellence teams, senior management etc., to stay abreast of business trends, understand 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

·       Lead / 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.  

• Design and build software tools to streamline statistical and operations research based advanced analytical methods.

• Analyze industry and technology trends to identify target markets for launch products or to improve sales of existing products. Research and apply emerging analytical methods and tools such as Machine Learning, Deep Learning, Advanced Statistical methods, Cloud Computing in Amazon Web Server (AWS), Python, R etc., to measure promotional impacts and optimal budget allocations.

• Deep understanding of internal customers' data and analytical needs focusing on the customer-facing model requirements

Qualifications

• Minimum 2-3 years of experience with an advanced degree (MS, PhD) in a quantitative science or related discipline of engineering/economics/statistics.

• 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) is required.

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

• Understanding of the Health Care or Pharmaceutical industry and experience in 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 communicate 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

Current Employees apply HERE

Current Contingent Workers apply HERE

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Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
 

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U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected US 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 listed here.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

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