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Senior Data Scientist

Senior Data Scientist
Baxter International
Tijuana
MXN 400.000 - 600.000
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Senior Data Scientist

Baxter International
Tijuana
MXN 400,000 - 600,000
Descripción del empleo

This is where you save and sustain lives

At Baxter, we are deeply connected by our mission. No matter your role at Baxter, your work makes a positive impact on people around the world. You'll feel a sense of purpose throughout the organization, as we know our work improves outcomes for millions of patients.

Baxter's products and therapies are found in almost every hospital worldwide, in clinics and in the home. For over 85 years, we have pioneered significant medical innovations that transform healthcare.

Together, we create a place where we are happy, successful and inspire each other. This is where you can do your best work.

Join us at the intersection of saving and sustaining lives—where your purpose accelerates our mission.

Your role at Baxter:

We rely on enlightening information to power our quality management system and product performance. We’re seeking an expert data scientist to deliver insights by bridging business requirements with data. The ideal candidate will be a guide in statistics, demonstrate natural curiosity, be creative and tech-savvy to address data analytics challenges. We are seeking someone who can collect and analyze data from different sources, develop solutions to overcome challenges, and efficiently connect with customers, partners, and team members. This role involves mining, interpreting, and cleaning data while asking questions, connecting dots, and uncovering hidden opportunities to unlock data's potential and build new visions.

Your Team at Baxter

The mission of Baxter is to save and sustain lives. This mission is embedded into everything we do. This means if there is a decision to be made where quantity and quality are at odds, we will always choose quality. Our patients come first, always.

What you’ll be doing:

  • Serve as a data strategist to identify and integrate new and existing datasets that can be used throughout product and process lifecycles.
  • Work closely with the data engineers and IT teams in the development of data products to align with organization goals.
  • Complete analytical experiments to assist in problem-solving across various processes and organizations.
  • Build predictive and statistical models and machine-learning algorithms to mine big-data stores; perform data and error analysis to improve models; clean and validate data for quality, uniformity and accuracy.
  • Ensuring the efficiency of data models through rigorous testing and analysis.
  • Interpret and analyze data for trends and patterns and interpret data with clear objectives in mind to provide actionable information.
  • Present the results and suggestions to relevant parties by using easily understandable visuals and concise reports.
  • Improve data collection procedures to include all relevant information for developing analytic systems.

What you'll be having:

  • Bachelor's degree or equivalent experience in Data Science, statistics, applied mathematics, IT/STEM or a related field.
  • 8 years experience as a Data Scientist or similar IT role.
  • Ability to provide mentorship to other data scientists on the team.
  • 5+ years of confirmed experience in Pharma and/or Medical Device Industry or other regulatory environment preferred.
  • Advanced coursework in machine learning and programming recommended.
  • Hands-on experience with data science tools.

Nice to have:

  • Experience working with medical devices.

Reasonable Accommodations
Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information.

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* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.

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