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Data Scientist

$95.1k - $142.6k

Millipore Corporation

Work Location: Rockville, Maryland

Shift: No

Department: LS-AS-TTA CTS Data, AI & Digital Platform

Recruiter: Nick Dubey

This information is for internals only. Please do not share outside of the organization.

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.

Additional responsibilities include:
  • 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.

This is an on-site position located in Rockville, MD.

Who You Are:
Minimum Qualifications:
  • Bachelor's degree in Data Science, Computer Science, or other information technology discipline OR Statistics, Applied Mathematics, or other mathematics discipline.
  • 3+ years of experience in data science or analytics roles.
Preferred Qualifications:
  • Master's Degree in Biostatistics or Data Science.
  • Highly proficient with Palantir Foundry, Tableau, or Power BI for interactive dashboard creation.
  • Proficient in Python, SQL, and predictive machine learning algorithms.
  • Experience within life science or pharmaceutical industries.
  • Experience in a GxP or similarly regulated environment.
  • Expertise in exploratory data analysis and predictive modeling.
  • Adept at cross-functional collaboration and translating data for stakeholders.
  • Deeply curious and interested in adopting advanced technologies.

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.

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.

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Vacancy posted 3 days ago
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