Job Abstract

Job Description

Position 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 Senior 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 accountable 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 include, but are not limited to:

• Deep knowledge of Marketing Analytics. Should be an SME 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 4-6 years of experience with an advanced degree (MS, PhD) in a quantitative science or related discipline of engineering/economics/statistics.

• Experience in 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.

• Knowledge of 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 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 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

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.

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders).  Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

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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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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, generally Tuesday, Wednesday and either Monday or 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”.

Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. 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 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.

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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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