Hybrid Life Science Data Scientist: ML & Dashboards

Merck KGaA

Rockville (MD)

On-site

USD 95,000 - 143,000

Full time

14 days+
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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

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.

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