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Data Science Specialist (Hybrid - NJ or PA)

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Merck

11d ago

  • Job
    Full-time
    Mid Level
  • Data
    Software Engineering
  • Rahway
  • 2d left

AI generated summary

  • You need a high school diploma, 3 years in data science (MLOps, model deployment), proficiency in Python/R, experience with data platforms, and strong communication and problem-solving skills.
  • You will design and deploy machine learning models, implement MLOps practices, evaluate data science platforms, explore data, lead analytics projects, engage stakeholders, and collaborate across teams.

Requirements

  • Education: High School Diploma required. Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field preferred.
  • Experience: Minimum of 3 years in data science, focusing on MLOps and model deployment.
  • Required Technical Skills
  • Proficiency in Python or R and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Working experience on Data science platforms like databricks, Dataiku or any similar platforms
  • Working experience of data processing and engineering for machine learning.
  • Preferred Technical Skills
  • Knowledge of AWS services
  • Familiarity with concepts of MLOps like MLflow.
  • Soft Skills
  • Excellent communication and teamwork skills.
  • Strong problem-solving abilities and analytical thinking.

Responsibilities

  • Model Development: Design, develop, and deploy scalable machine learning models.
  • MLOps Implementation: Implement MLOps best practices for model versioning and monitoring.
  • Capability Evaluation: Assess new data science platform capabilities for enterprise readiness.
  • Data Exploration: Conduct data exploration and perform feature engineering.
  • Analytics Delivery: Lead data-analytics project delivery, navigating multi-team complexities and working in a agile centric fashion.
  • Stakeholder Engagement: Build relationships with stakeholders to understand their needs.
  • Cross-Functional Collaboration: Work with geographically diverse teams to gather business requirements.

FAQs

Do we support remote work?

Yes, we support a hybrid work model, which includes remote work on designated days.

What is the educational requirement for this position?

A High School Diploma is required, with a Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field preferred.

How many years of experience are required for this role?

A minimum of 3 years of experience in data science, focusing on MLOps and model deployment is required.

What technical skills are necessary for the Data Science Specialist position?

Proficiency in Python or R and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), as well as experience with data science platforms like Databricks or Dataiku, is necessary.

Is knowledge of AWS services required?

Knowledge of AWS services is preferred but not required.

What are the expected salary range and benefits for this position?

The expected salary range is $101,100.00 - $159,100.00, with available benefits including bonus eligibility, health care, retirement benefits, paid holidays, vacation, and sick days.

Can international candidates apply for this position?

No, visa sponsorship is not available for this role.

What kind of collaboration is expected in this role?

The role requires cross-functional collaboration with geographically diverse teams to gather business requirements and engage stakeholders.

What soft skills are valued for this position?

Excellent communication and teamwork skills, along with strong problem-solving abilities and analytical thinking, are valued.

Is there a specific end date for this job posting?

Yes, the job posting will end on January 7, 2025, at 11:59:59 PM.

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Merck

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

At Merck, known as MSD outside of the United States and Canada, we are unified around our purpose: We use the power of leading-edge science to save and improve lives around the world. For more than 130 years, we have brought hope to humanity through the development of important medicines and vaccines. We aspire to be the premier research-intensive biopharmaceutical company in the world – and today, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. We foster a diverse and inclusive global workforce and operate responsibly every day to enable a safe, sustainable and healthy future for all people and communities. For more information,