refresh

Trending companies

Trending companies

Merck
Merck

Multinational pharmaceutical company.

Senior Specialist, Data Scientist at Merck

RoleData Science
LevelSenior
LocationUSA - Pennsylvania - North Wales (Upper Gwynedd)
WorkOn-site
TypeFull-time
Posted1 day ago
Apply now

About the role

Job Description

Position Summary: We are seeking a Data Scientist to join our R&D Quality Assurance Analytics & Tech Systems team. This role will be both responsible for developing and maintaining innovative data science solutions, and developing our Analytics solutions. The successful candidate will work closely with our business stakeholders to determine areas for business growth, develop new solutions using innovative technology, such as machine learning and generative AI, and develop/maintain Analytics Tools.

Key Responsibilities:

  • Technically support current and new Data Science requests within our Research & Development Division QA space, including developing new innovative models and maintaining current solutions.

  • Develop and support new and current Analytics solutions, using tools such as PowerBI, Spotfire, and SQL.

  • Support the development of any AD HOC Analytics and Reporting solutions in a rapid manner

  • Become a subject matter expert (SME) on the current R&D Quality Data Domain in our Data Science and Analytics projects.

  • Effectively communicate insights and results from data analysis to both the QA Analytics team and the business stakeholders.

  • Understand the business challenges and business context of our advanced solutions that we support.

  • Collaborate with the QA Analytics team to discover new innovative solutions to our business problems

  • Identify opportunities to use Generative AI and work with leads to determine the best implementation approach, and collaborate with business stakeholders to understand how to best utilize AI or Data Science algorithms.

  • Be an active member of internal data science community, along with participating in external company consortiums to understand how the industry is using cutting-edge technology.

  • Provide mentorship and education for team members interested in Generative AI, our Analytics tools, data literacy, or other advanced analytics concepts to upskill our team and business

Education Requirements

Mininum Bachelor’s Degree or equivalent required with a concentration in Computer Science, Information Technology, Data Science, or similar equivalent.

Qualifications:

  • Minimum 5 years of experience using advanced analytical tools, such as Python, R, and advanced SQL

  • Proficient user of at least one data visualization tool, such as Power

BI and Spotfire:

  • Ability to develop new analytical models for advanced technical needs such as machine learning, forecasts, simulations, and optimizations.

  • Passion in learning and exploring the capabilities of new technology, as well as how to implement these technologies, such as Generative AI

  • Strong communication and collaboration skills.

  • Ability to understand business challenges and translate them into technical solutions.

  • Experience supporting and working with cross-functional teams in a global organization.

Required Skills:

Business Intelligence (BI), Computer Science, Data Algorithms, Database Design, Data Engineering, Data Literacy, Data Modeling, Data Science, Data Visualization, Data Visualization Tools, Generative AI, Machine Learning (ML), Mentoring Youth, Mentorship, Microsoft Power Business Intelligence (BI), Peer Mentoring, Python (Programming Language), Quality Assurance (QA), R Programming, Software Development, Stakeholder Engagement, Stakeholder Relationship Management, Structured Query Language (SQL), Willingness to Learn

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

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.

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:

EEOC Know Your Rights

EEOC GINA Supplement

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.

Learn more about your rights, including under California, Colorado and other US State Acts

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 salary range for this role is

$129,000.00 - $203,100.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

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:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

05/18/2026

**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.

Required skills

Data science

Machine learning

SQL

Analytics

Reporting

Stakeholder communication

Generative AI

Total Views

0

Total Apply Clicks

0

Total Mock Apply

0

Total Bookmarks

0

About Merck

Merck

Merck

Public

Multinational pharmaceutical company.

10,001+

Employees

Rahway

Headquarters

$208B

Valuation

Reviews

10 reviews

4.3

10 reviews

Work-life balance

3.8

Compensation

3.2

Culture

4.5

Career

3.5

Management

4.0

78%

Recommend to a friend

Pros

Supportive management and colleagues

Excellent health benefits and retirement plans

Flexible working hours and remote work options

Cons

High-pressure and demanding work environment

Limited career advancement opportunities

Pay issues for entry-level positions

Salary Ranges

2,514 data points

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Director

Junior/L3 · Data Scientist

0 reports

$146,595

total per year

Base

-

Stock

-

Bonus

-

$124,607

$168,583

Interview experience

6 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

17%

Experience

Positive 0%

Neutral 67%

Negative 33%

Interview process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Background Check

6

Offer

Common questions

Behavioral/STAR

Past Experience

Technical Knowledge

Culture Fit

Case Study