Sr Specialist , Data Science
USA - Pennsylvania - North Wales (Upper Gwynedd), United States
MSD
At MSD, we're following the science to tackle some of the world's greatest health threats. Get a glimpse of how we work to improve lives.Job Description
Senior Specialist – US Oncology BIA Targeting and Segmentation
The Senior Specialist will be part of the Oncology Business Insights and Analytics (BIA) team in the US Human Health Market. The selected candidate will be accountable for creating targeting and segmentation models for the Oncology Business Units that will be used for the allocation of promotional resources and tactics across channels, brands, and customer segments. More specifically, he/she will work with HH market leaders and provide guidance to help define tactics and strategies to implement customer targeting and segmentation schemes using predictive and machine learning models for US Oncology Business Units.
Position Qualifications:
Education:
Bachelor's degree in Statistics, Mathematics, Operation Research, Computer Science, Engineering, Data Science or Quantitative Decision Science.
Knowledge and Skills:
Strong communication and management skills are critical to develop, propose and convey technical concepts to business customers and HH executives.
Demonstrated skills in developing concise and decision-driven presentations that will inform decisions made by Senior Directors.
The candidate will have demonstrated client and project management knowledge, having to manage multiple analytical projects simultaneously and foster partnership with colleagues.
Programming skill in Python/R/SAS and working knowledge of SQL and other analytical tools also needed.
The candidate will have 5+ years in a commercial analytics practice in developing and applying analytic solutions to solve similar business scenarios in the Health Care or Pharmaceutical industry.
Demonstrated expertise of Health Care and Pharmaceutical industry data sources such as IQVIA Xponent, DDD, HCOS, and patient claims data are necessary.
Understand the sales and marketing environment and decision points to optimize marketing investments for a pharmaceutical Oncology setting.
Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:
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As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.
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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”.
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
Search Firm Representatives Please Read Carefully
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.
Employee Status:
RegularRelocation:
No relocationVISA Sponsorship:
NoTravel Requirements:
10%Flexible Work Arrangements:
HybridShift:
Not IndicatedValid Driving License:
NoHazardous Material(s):
N/ARequired Skills:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall ModelPreferred Skills:
Job Posting End Date:
05/6/2025*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data visualization Engineering Machine Learning Mathematics ML models Pharma Python R Research SAS SQL Statistics
Perks/benefits: Career development Flex hours Relocation support
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