Job Description

Summary of job scope:

We seek a Machine Learning Engineering Paid Intern with a growth mindset who exhibits strong leadership skills, particularly in Entrepreneurship, Ownership & Accountability, and Networking & Partnerships. This role involves collaborating closely with cross-functional business teams employing agile ways of working to create business value and outcomes with data and Advanced Data Analytics. We offer flexibility in the duration and time allocation of the internship, which can be from 3, 6, or 9 months, and can accommodate part-time schedules while the candidate is pursuing their academic degree.

Primary Activities:

Provide Business Outcomes: Design innovative solutions leveraging analytical approaches and best practices, build prototypes, write code, and document processes to deliver actionable insights and business outcomes to stakeholders and management. Understand customer needs and align solutions to meet those needs.

Implement Technology Modernization: Apply modern technologies related to analytics, Machine Learning, and AI to enhance our company's processes and efficiency, demonstrating a customer-centric perspective in all technological implementations.

Drive Agile Delivery: Utilize agile methodologies to deliver business outcomes efficiently and productively, based on the principles of iteration and experimentation, while setting high standards for quality and performance.

Foster Global Collaboration: Establish and nurture effective partnerships with cross-functional teams and international communities, actively seeking opportunities to build relationships that advance work goals.

Lead Decision-Making: Leverage Data Science techniques and architectures to make informed decisions that solve critical business problems and achieve organizational goals. Take ownership of outcomes and encourage a culture of accountability.

Uphold Behavior Standards: Maintain robust behavior standards that promote collaboration, learning, and knowledge sharing while setting an example of excellence for fellow team members.

Preferred Qualifications:

- Proactive, results-oriented, creative, and flexible thinker with a growth mindset.

- Enjoys working in diverse, inclusive global and matrix environments across functions and geographies.

- Demonstrates strong interpersonal and communication skills, including presentation abilities.

- Ability and willingness to speak up, challenge the status quo, and uphold high ethical and intellectual integrity standards.

- Capability to understand business requirements and translate them into data-driven processes and services, consulting stakeholders on optimal solutions and managing expectations.

- Graduated School Students currently pursuing degrees in Computer Sciences, Statistics, Physics, Engineering, Mathematics, Economics, Public Health, (Pharmaco-)Epidemiology, or Pharmacy.

- Business level of English language proficiency.

Learning Opportunities and Benefits:

- Gain knowledge and experience in Advanced Data Analytics, Data Science, Machine Learning, and AI, crafting analytical solutions while learning the art of storytelling and presenting insights to business stakeholders.

- Obtain hands-on experience across the end-to-end Advanced Data Analytics process, from data extraction and exploratory data analysis (EDA) to predictive model building, validation, and deployment using programming languages such as Python.

- Develop skills in extracting, designing, and linking datasets from diverse internal and external sources through SQL queries as part of the ETL process and preparing modeling master datasets for analysis.

- Enhance understanding of Big Data foundations, modern Data and Analytics ecosystems, and IT products, such as AWS and Azure cloud services.

- Learn to lead data-driven initiatives grounded in agile methodologies. These initiatives may involve changing existing systems, processes, or mindsets among stakeholders.

- Explore knowledge of the pharmaceutical commercial business and its data sources (e.g., prescription and sales data, patient claims data, promotional data) while designing future ideal states of Data Analytics.

Current Employees apply HERE

Current Contingent Workers apply HERE

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. 

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