Sr. Associate, Data Science
Pfizer
Thessaloniki Chortiatis, Greece
πριν από 6 μέρες

The Enterprise Platforms & Security (EP&S) team delivers the following capabilities for Pfizer - Business application platforms supporting Pfizer’s enterprise application and critical business processes.

Infrastructure allowing business traffic to travel where it needs to go, internally and externally, along with the appropriate access controls.

EP&S secures Pfizer's most important information assets through world class controls and protections and enables Pfizer's business results by making security an enabler and not a roadblock to achieving business results.

As a Sr. Associate Data Science, you will be part of a team to develop new capabilities that leverage AI / ML to solve complex problems for the Enterprise Platforms and Security team.

You will guide the strategic roadmap for developing new capabilities and help support existing solutions. You will apply AI / ML to support automation use cases as well as predictive modeling to avoid critical issues.

The ideal candidate is an expert in data science with experience working in cross-functional teams, bridging the gap between data, technology, and people.

ROLE RESPONSIBILITIES

  • Work in multi-disciplinary and cross-functional teams to translate business requirements into machine learning based goals and modeling approaches;
  • rapidly iterate model structure and design through parameter tuning, data transformation, and accuracy measurement selection to refine and validate approach.

  • Work with large, complex, and structured / unstructured data sets
  • Collaborate with Data Integration and Machine Learning Engineers to deliver end-to-end production applications
  • Execute advanced analytics and predictive modeling projects using rigorous statistical methods and machine learning techniques
  • Design, develop, deploy, and maintain reusable assets and custom pipelines to optimize operational efficiencies in analytics execution
  • BASIC QUALIFICATIONS

  • BS in computer science, data science, or an engineering field.
  • At least 3 years of experience in data and analytics field
  • Strong background in computer science : algorithms, data structures, machine learning, and distributed systems
  • Experience with time series analysis and forecasting
  • Strong proficiency with Python and PL / SQL and experience with other programming languages such as R, Java, Scala.
  • Effective written and verbal communication skills to translate technical solutions and methodologies to stakeholders
  • PREFERRED QUALIFICATIONS

  • Master's degree or PhD in a quantitative discipline (e.g., Statistics, Computer Science, Math, Engineering) or equivalent consulting experience.
  • Experience with Dataiku (DSS 9 or 10) platform
  • Purpose

    Breakthroughs that change patients' lives ... At Pfizer we are a patient centric company, guided by our four values : courage, joy, equity and excellence.

    Our breakthrough culture lends itself to our dedication to transforming millions of lives.

    Digital Transformation Strategy

    One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

    Flexibility

    We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.

    Let’s start the conversation!

    Equal Employment Opportunity

    We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms allowing for us to be as diverse as the patients and communities we serve.

    Together, we continue to build a culture that encourages, supports and empowers our employees.

    Information & Business Tech

    Αναφορά αυτής της εργασίας
    checkmark

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Εφαρμογή
    Το e-mail μου
    Πατώντας στο κουμπί «Συνέχεια », δίνω στο neuvoo τη συγκατάθεση μου να καταχωρήσει τα δεδομένα μου και να μου στέλνει ειδοποιήσεις μέσω email, όπως αναφέρεται λεπτομερώς στην πολιτική προστασίας προσωπικών δεδομένων του neuvoo. Μπορείτε ανά πάσα στιγμή να αποσύρετε τη συγκατάθεση σας ή να διαγραφθείτε οποιαδήποτε στιγμή.
    Συνέχεια
    Φόρμα αίτησης