Data Scientist

Merck KGaA; Rockville (MD); On-site; USD 95,000 - 143,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Retirement contributions

Other perquisites

Job summary

Merck KGaA in Rockville, MD seeks a Data Science Expert to turn large datasets into actionable insights that accelerate development and guide business decisions. You will build dashboards and apply ML to optimize marketing, operations, and R&D in a life sciences context.

Requires a master’s degree in a related field, 3+ years of experience, and proficiency in Python, SQL, and BI tools (DOMO, Palantir Foundry, Tableau, Power BI). Onsite with a hybrid option and strong career growth.

Qualifications

• Master’s degree in data science, statistics, biostatistics, computer science, or related field.
• 3+ years of experience in data science or analytics, preferably in Life Science or Pharma.
• Proficient in Python, SQL, and predictive machine learning algorithms.

Responsibilities

• Curate large datasets and perform statistical analyses for lab and business solutions.
• Design and refine ML models for marketing, operations, R&D, and supply chain.
• Collaborate with cross-functional teams in agile settings.
• Create interactive dashboards and reports to communicate findings to stakeholders.
• Own data standards, pipelines, and data architecture quality across projects.

Skills

Python

SQL

Predictive modeling

Education

Master’s degree in Data Science or related field

Tools

DOMO

Palantir Foundry

Tableau

Power BI

Job description

ID 302450

Rockville, Maryland, United States

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Your Role

As a Data Science Expert, you combine advanced data science and business analytics experience to generate actionable insights that accelerate development, optimize business strategies and support key business decisions. Operating within Contract Testing Services, you turn complex datasets into actionable insights through exploratory data analysis, predictive modeling, and machine learning algorithms. You will design, build, and maintain interactive dashboards to communicate key performance indicators across functions, including marketing, sales, R&D, operation and IT. By leading data management and evaluating emerging AI and analytics tools, your efforts directly streamline operations and deliver a competitive edge in the life science market.

Main Responsibilities

• Curate large datasets, perform statistical analyses, and run proof-of-concept tests for laboratory and business solutions.
• Design, build, and refine machine learning and artificial intelligence models for marketing, operation, R&D, and supply chain optimization.
• Work closely with business experts, lab operation, researchers, and software engineers, in agile team settings.
• Create interactive dashboards and reports to communicate key findings and metrics to stakeholders.
• Own and drive data standards, pipelines, and architecture quality across projects.

Who You Are

• Prefer master’s degree in data science, Statistics, Biostatistics, Computer Science, or related field.
• 3+ years of experience in data science or analytics roles, ideally within Life Science or Pharma industry.
• Proficient in Python, SQL, and predictive machine learning algorithms.
• Skilled in DOMO, Palantir Foundry, Tableau or Power BI for interactive dashboard creation.
• Expert in exploratory data analysis and predictive modeling.
• Cross-functional collaborator adept at translating data for stakeholders.
• Curious continuous learner focused on adopting advanced technologies.

Location

This is an onsite role required to be located in our Rockville, MD site. We do off a hybrid flexible work arrangement.

Pay Range for this position: $95,100 - $142,600. The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

US Equal Employment Opportunities

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.